Krause, Andreas
- Probabilistic Artificial Intelligence
2025/02/07 by Andreas Krause, Jonas Hübotter, Krause, Andreas +1 · 24 voices · 2 citations
Computer Science · Engineering · #Advanced Data Processing Techniques #Machine Learning and Data Classification #Neural Networks and Applications #cs.AI #cs.LG
- Safe Model-based Reinforcement Learning with Stability Guarantees
2017/05/23 by Felix Berkenkamp, Berkenkamp, Felix, Matteo Turchetta +5 · 47 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
2010/03/21 by Golovin, Daniel, Krause, Andreas · 14 citations
#Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #F.2.2 #FOS: Computer and information sciences #G.3 #I.2.6 #Machine Learning (cs.LG)
- Coresets via Bilevel Optimization for Continual Learning and Streaming
2020/06/06 by Zalán Borsos, Mojmír Mutný, Borsos, Zalán +3 · 19 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
- Lazier Than Lazy Greedy
2014/09/28 by Mirzasoleiman, Baharan, Badanidiyuru, Ashwinkumar, Karbasi, Amin +2 · 10 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process\n Bandit Optimization
2012/06/27 by Thomas Desautels, Desautels, Thomas, Andreas Krause +3 · 9 citations
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Advanced Bandit Algorithms Research
- The Schrödinger Bridge between Gaussian Measures has a Closed Form
2022/02/11 by Charlotte Bunne, Ya‐Ping Hsieh, Bunne, Charlotte +5 · 13 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer Genomics and Diagnostics #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Quantitative Methods (q-bio.QM) #Single-cell and spatial transcriptomics
- Information Directed Sampling and Bandits with Heteroscedastic Noise
2018/01/29 by Johannes Kirschner, Andreas Krause, Kirschner, Johannes +1 · 10 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Machine Learning and Algorithms
- Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
2020/06/15 by Sebastian Curi, Felix Berkenkamp, Curi, Sebastian +3 · 11 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
2018/08/02 by Richards, Spencer M., Berkenkamp, Felix, Krause, Andreas · 8 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Learning-based Model Predictive Control for Safe Exploration
2018/03/22 by Torsten Koller, Koller, Torsten, Felix Berkenkamp +5 · 8 citations
Engineering · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Learning Graph Models for Retrosynthesis Prediction
2020/06/12 by Vignesh Ram Somnath, Charlotte Bunne, Somnath, Vignesh Ram +7 · 9 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Guarantees for Greedy Maximization of Non-submodular Functions with Applications
2017/03/06 by Bian, Andrew An, Joachim M. Buhmann, Andreas Krause +4 · 8 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Bayesian Optimization with Safety Constraints: Safe and Automatic\n Parameter Tuning in Robotics
2016/02/14 by Felix Berkenkamp, Berkenkamp, Felix, Andreas Krause +3 · 7 citations
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Fault Detection and Control Systems #Machine Learning and Algorithms
- Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
2024/10/10 by Jonas Hübotter, Sascha Bongni, Hübotter, Jonas +5 · 3 voices · 15 citations
Computer Science · #Machine Learning and Algorithms #cs.AI #cs.LG
- Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
2022/06/27 by Paulus, Max B., Zarpellon, Giulia, Krause, Andreas +2 · 10 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
2019/02/08 by Kirschner, Johannes, Mutný, Mojmír, Hiller, Nicole +2 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inferring Networks of Diffusion and Influence
2010/06/01 by Manuel Gomez-Rodriguez, Jure Leskovec, Gomez-Rodriguez, Manuel +3 · 5 citations
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Physical sciences #H.2.8 #Machine Learning (stat.ML) #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social Media and Politics #Social and Information Networks (cs.SI)
- Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
2018/06/13 by Heidari, Hoda, Ferrari, Claudio, Gummadi, Krishna P. +1 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
2018/05/18 by Pfeiffer, Mark, Shukla, Samarth, Turchetta, Matteo +4 · 5 citations
#FOS: Computer and information sciences #Robotics (cs.RO)
- Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
2016/06/17 by Bian, Andrew An, Mirzasoleiman, Baharan, Buhmann, Joachim M. +1 · 4 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- International AI Safety Report
2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 17 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Practical Coreset Constructions for Machine Learning
2017/03/19 by Bachem, Olivier, Lucic, Mario, Krause, Andreas · 4 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Information-Directed Exploration for Deep Reinforcement Learning
2018/12/18 by Nikolay Nıkolov, Johannes Kirschner, Nikolov, Nikolay +5 · 6 citations
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Sports Analytics and Performance
- Active Bayesian Causal Inference
2022/06/04 by Christian Toth, Toth, Christian, Lars Lorch +11 · 1 voice · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
- Amortized Inference for Causal Structure Learning
2022/05/25 by Lorch, Lars, Sussex, Scott, Rothfuss, Jonas +2 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- DiBS: Differentiable Bayesian Structure Learning
2021/05/25 by Lorch, Lars, Rothfuss, Jonas, Schölkopf, Bernhard +1 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Information Directed Reward Learning for Reinforcement Learning
2021/02/24 by David Lindner, Lindner, David, Matteo Turchetta +7 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Search Problems
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions
2022/06/03 by Hägele, Alexander, Rothfuss, Jonas, Lorch, Lars +3 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Information Directed Sampling for Linear Partial Monitoring
2020/02/25 by Johannes Kirschner, Tor Lattimore, Kirschner, Johannes +3 · 4 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- Distributionally Robust Bayesian Optimization
2020/02/20 by Kirschner, Johannes, Bogunovic, Ilija, Jegelka, Stefanie +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Hierarchical Image Classification using Entailment Cone Embeddings
2020/04/02 by Dhall, Ankit, Makarova, Anastasia, Ganea, Octavian +3 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gradient Estimation with Stochastic Softmax Tricks
2020/06/15 by Paulus, Max B., Choi, Dami, Tarlow, Daniel +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Logistic Q-Learning
2020/10/21 by Joan Bas-Serrano, Bas-Serrano, Joan, Sebastian Curi +5 · 5 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adaptive Dynamic Programming Control
- Adaptive Submodular Optimization under Matroid Constraints
2011/01/24 by Daniel Golovin, Andreas Krause, Golovin, Daniel +1 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Complexity and Algorithms in Graphs #Cryptography and Data Security #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Optimization and Search Problems
- Instance-Dependent Generalization Bounds via Optimal Transport
2022/11/02 by Hou, Songyan, Kassraie, Parnian, Kratsios, Anastasis +2 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Transductive Active Learning: Theory and Applications
2024/02/13 by Jonas Hübotter, Bhavya Sukhija, Hübotter, Jonas +7 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
2019/06/27 by Torsten Koller, Koller, Torsten, Felix Berkenkamp +7 · 4 citations
Engineering · Computer Science · #Advanced Control Systems Optimization #Control Systems and Identification #Reinforcement Learning in Robotics
- Misspecified Gaussian Process Bandit Optimization
2021/11/09 by Bogunovic, Ilija, Krause, Andreas · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Multi-Scale Representation Learning on Proteins
2022/04/04 by Vignesh Ram Somnath, Somnath, Vignesh Ram, Charlotte Bunne +3 · 4 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Protein Structure and Dynamics
- Noise Regularization for Conditional Density Estimation
2019/07/21 by Rothfuss, Jonas, Ferreira, Fabio, Boehm, Simon +4 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Adaptive Sampling for Stochastic Risk-Averse Learning
2019/10/28 by Sebastian Curi, Curi, Sebastian, Kfir Y. Levy +5 · 3 citations
Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Portfolio Optimization #Statistical Methods and Inference
- Supervised Training of Conditional Monge Maps
2022/06/28 by Charlotte Bunne, Bunne, Charlotte, Andreas Krause +3 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
2019/06/28 by Fiducioso, Marcello, Curi, Sebastian, Schumacher, Benedikt +2 · 3 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
- No-Regret Bayesian Optimization with Unknown Hyperparameters
2019/01/10 by Berkenkamp, Felix, Schoellig, Angela P., Krause, Andreas · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Constrained Policy Optimization via Bayesian World Models
2022/01/24 by Yarden As, Ilnura Usmanova, As, Yarden +5 · 4 citations
Engineering · Computer Science · #Autonomous Vehicle Technology and Safety #Reinforcement Learning in Robotics #Software Reliability and Analysis Research
- Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
2020/10/09 by Paulus, Max B., Maddison, Chris J., Krause, Andreas · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Joint Optimization and Variable Selection of High-dimensional Gaussian\n Processes
2012/06/27 by Bo Chen, Rui M. Castro, Chen, Bo +3 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Safe Reinforcement Learning via Curriculum Induction
2020/06/22 by Matteo Turchetta, Turchetta, Matteo, Andrey Kolobov +7 · 4 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Optimistic Active Exploration of Dynamical Systems
2023/06/21 by Bhavya Sukhija, Sukhija, Bhavya, Lenart Treven +9 · 6 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
- Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
2025/01/17 by Li, Chenhao, Krause, Andreas, Hutter, Marco · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Efficient Exploration in Continuous-time Model-based Reinforcement Learning
2023/10/30 by Lenart Treven, Treven, Lenart, Jonas Hübotter +7 · 7 citations
Computer Science · Psychology · Medicine · #Gaussian Processes and Bayesian Inference #Mental Health Research Topics #Heart Rate Variability and Autonomic Control
- A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
2018/09/10 by Heidari, Hoda, Loi, Michele, Gummadi, Krishna P. +1 · 2 citations
#FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Theoretical Economics (econ.TH)
- Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning
2019/02/13 by Srivastava, Megha, Heidari, Hoda, Krause, Andreas · 2 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences
- Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
2019/10/29 by Turchetta, Matteo, Krause, Andreas, Trimpe, Sebastian · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Safe Exploration for Interactive Machine Learning
2019/10/30 by Turchetta, Matteo, Berkenkamp, Felix, Krause, Andreas · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
- Active Exploration for Inverse Reinforcement Learning
2022/07/18 by Lindner, David, Krause, Andreas, Ramponi, Giorgia · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
2024/12/16 by Bhavya Sukhija, Sukhija, Bhavya, Stelian Coros +7 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Model-based Causal Bayesian Optimization
2022/11/18 by Scott Sussex, Sussex, Scott, Anastasiia Makarova +3 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Submodular Reinforcement Learning
2023/07/25 by Prajapat, Manish, Mutný, Mojmír, Zeilinger, Melanie N. +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Risk-Averse Offline Reinforcement Learning
2021/02/10 by Urpí, Núria Armengol, Curi, Sebastian, Krause, Andreas · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Riemannian stochastic optimization methods avoid strict saddle points
2023/11/04 by Ya‐Ping Hsieh, Mohammad Reza Karimi, Hsieh, Ya-Ping +5 · 3 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques #Gaussian Processes and Bayesian Inference
- Contextual Stochastic Bilevel Optimization
2023/10/27 by Hu, Yifan, Wang, Jie, Xie, Yao +2 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Corruption-Tolerant Gaussian Process Bandit Optimization
2020/03/04 by Ilija Bogunovic, Bogunovic, Ilija, Andreas Krause +3 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Data Stream Mining Techniques
- Contextual Bilevel Reinforcement Learning for Incentive Alignment
2024/06/03 by Vinzenz Thoma, Barna Pásztor, Thoma, Vinzenz +7 · 4 citations
Decision Sciences · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Stochastic processes and financial applications
- Truncated Variance Reduction: A Unified Approach to Bayesian\n Optimization and Level-Set Estimation
2016/10/24 by Ilija Bogunovic, Bogunovic, Ilija, Jonathan Scarlett +5 · 2 citations
Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- Riemannian stochastic approximation algorithms
2022/06/14 by Mohammad Reza Karimi, Ya‐Ping Hsieh, Karimi, Mohammad Reza +5 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #37N40 #90C47 #90C48 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Primary 62L20 #Statistical Mechanics and Entropy #Stochastic Gradient Optimization Techniques #secondary 90C15
- Active Exploration via Experiment Design in Markov Chains
2022/06/29 by Mojmír Mutný, Tadeusz J. Janik, Mutný, Mojmír +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Reinforcement Learning in Robotics
- Invariant Causal Mechanisms through Distribution Matching
2022/06/23 by Mathieu Chevalley, Chevalley, Mathieu, Charlotte Bunne +4 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Topic Modeling
- SHAP values via sparse Fourier representation
2024/10/08 by Gorji, Ali, Amrollahi, Andisheh, Krause, Andreas · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Near-Optimal Bayesian Active Learning with Noisy Observations
2010/10/15 by Golovin, Daniel, Krause, Andreas, Ray, Debajyoti · 1 citation
#Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #F.2.2 #FOS: Computer and information sciences #G.3 #I.2.6 #Machine Learning (cs.LG)
- Efficient Minimization of Decomposable Submodular Functions
2010/10/26 by Stobbe, Peter, Krause, Andreas · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Bridging the Sim-to-Real Gap with Bayesian Inference
2024/03/25 by Jonas Rothfuss, Rothfuss, Jonas, Bhavya Sukhija +9 · 5 citations
Decision Sciences · #Scientific Computing and Data Management #Simulation Techniques and Applications
- Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
2021/10/22 by Nava, Elvis, Mutný, Mojmír, Krause, Andreas · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications
2023/02/07 by Johannes Kirschner, Kirschner, Johannes, Tor Lattimore +3 · 2 citations
Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Meta-Learning Reliable Priors in the Function Space
2021/06/06 by Rothfuss, Jonas, Heyn, Dominique, Chen, Jinfan +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Near-Optimally Teaching the Crowd to Classify
2014/02/10 by Singla, Adish, Bogunovic, Ilija, Bartók, Gábor +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning To Dive In Branch And Bound
2023/01/24 by Paulus, Max B., Krause, Andreas · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments
2014/07/03 by Golovin, Daniel, Krause, Andreas, Streeter, Matthew · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
2024/10/12 by Yarden As, As, Yarden, Bhavya Sukhija +9 · 5 citations
Engineering · Computer Science · #Reservoir Engineering and Simulation Methods #Distributed systems and fault tolerance #AI-based Problem Solving and Planning
- Transition Constrained Bayesian Optimization via Markov Decision Processes
2024/02/13 by Jose Pablo Folch, Calvin Tsay, Folch, Jose Pablo +15 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reservoir Engineering and Simulation Methods
- Distributed Submodular Maximization
2014/11/03 by Mirzasoleiman, Baharan, Karbasi, Amin, Sarkar, Rik +1 · 1 citation
#Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Learning Safety Constraints for Large Language Models
2025/05/30 by Chen, Xin, As, Yarden, Krause, Andreas · 7 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
2016/05/24 by Yuxin Chen, S. Hamed Hassani, Chen, Yuxin +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Learning to Hire Teams
2015/08/12 by Singla, Adish, Horvitz, Eric, Kohli, Pushmeet +1 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
2015/11/23 by Singla, Adish, Tschiatschek, Sebastian, Krause, Andreas · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Safe Guaranteed Exploration for Non-linear Systems
2024/02/09 by Prajapat, Manish, Köhler, Johannes, Turchetta, Matteo +2 · 4 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Training Gaussian Mixture Models at Scale via Coresets
2017/03/23 by Lucic, Mario, Faulkner, Matthew, Krause, Andreas +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
2024/06/03 by Lenart Treven, Bhavya Sukhija, Treven, Lenart +7 · 4 citations
Engineering · #Advanced Adaptive Filtering Techniques #Control Systems and Identification #Advanced Control Systems Optimization
- Active Fine-Tuning of Multi-Task Policies
2024/10/07 by Marco Bagatella, Bagatella, Marco, Jonas Hübotter +5 · 4 citations
Decision Sciences · #Complex Systems and Decision Making #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly
2017/06/12 by Mirzasoleiman, Baharan, Jegelka, Stefanie, Krause, Andreas · 1 citation
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Stochastic Submodular Maximization: The Case of Coverage Functions
2017/11/05 by Karimi, Mohammad Reza, Lucic, Mario, Hassani, Hamed +1 · 1 citation
#Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Continuous DR-submodular Maximization: Structure and Algorithms
2017/11/04 by An Bian, Kfir Y. Levy, Bian, An +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
- Causal Modeling with Stationary Diffusions
2023/10/26 by Lorch, Lars, Krause, Andreas, Schölkopf, Bernhard · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Safe Risk-averse Bayesian Optimization for Controller Tuning
2023/06/23 by Koenig, Christopher, Ozols, Miks, Makarova, Anastasia +3 · 2 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Differentiable Submodular Maximization
2018/03/05 by Tschiatschek, Sebastian, Sahin, Aytunc, Krause, Andreas · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning User Preferences to Incentivize Exploration in the Sharing\n Economy
2017/11/17 by Christoph Hirnschall, Adish Singla, Hirnschall, Christoph +5 · 1 citation
Business, Management and Accounting · Economics, Econometrics and Finance · Engineering · #FOS: Computer and information sciences #Housing Market and Economics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sharing Economy and Platforms #Social and Information Networks (cs.SI) #Transportation and Mobility Innovations
- Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
2023/03/02 by Rothfuss, Jonas, Sukhija, Bhavya, Birchler, Tobias +2 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Intrinsic Gaussian Vector Fields on Manifolds
2023/10/28 by Robert-Nicoud, Daniel, Krause, Andreas, Borovitskiy, Viacheslav · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Stochastic Bandits with Context Distributions
2019/06/06 by Kirschner, Johannes, Krause, Andreas · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- No-Regret Learning in Unknown Games with Correlated Payoffs
2019/09/18 by Pier Giuseppe Sessa, Ilija Bogunovic, Sessa, Pier Giuseppe +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
- PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
2020/02/13 by Rothfuss, Jonas, Fortuin, Vincent, Josifoski, Martin +1 · 1 citation
#68Q32 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gradient-Based Trajectory Optimization With Learned Dynamics
2022/04/09 by Sukhija, Bhavya, Köhler, Nathanael, Zamora, Miguel +4 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Continuous Submodular Function Maximization
2020/06/24 by Bian, Yatao, Buhmann, Joachim M., Krause, Andreas · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
2023/06/12 by Widmer, Daniel, Kang, Dongho, Sukhija, Bhavya +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)
- Stochastic Linear Bandits Robust to Adversarial Attacks
2020/07/07 by Ilija Bogunovic, Arpan Losalka, Bogunovic, Ilija +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Learning to Play Sequential Games versus Unknown Opponents
2020/07/10 by Sessa, Pier Giuseppe, Bogunovic, Ilija, Kamgarpour, Maryam +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Standardizing Structural Causal Models
2024/06/17 by Ormaniec, Weronika, Sussex, Scott, Lorch, Lars +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Anytime Model Selection in Linear Bandits
2023/07/24 by Kassraie, Parnian, Emmenegger, Nicolas, Krause, Andreas +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
2021/01/19 by König, Christopher, Turchetta, Matteo, Lygeros, John +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Automatic Termination for Hyperparameter Optimization
2021/04/16 by Anastasia Makarova, Makarova, Anastasia, Huibin Shen +13 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
- Regret Bounds for Gaussian-Process Optimization in Large Domains
2021/04/29 by Manuel Wüthrich, Wüthrich, Manuel, Bernhard Schölkopf +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
- Proximal Optimal Transport Modeling of Population Dynamics
2021/06/11 by Charlotte Bunne, Laetitia Meng-Papaxanthos, Bunne, Charlotte +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Diffusion and Search Dynamics #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Bias-Robust Bayesian Optimization via Dueling Bandits
2021/05/25 by Johannes Kirschner, Andreas Krause, Kirschner, Johannes +1 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Reinforcement Learning in Robotics
- Near-Optimal Multi-Perturbation Experimental Design for Causal Structure\n Learning
2021/05/28 by Scott Sussex, Sussex, Scott, Andreas Krause +3 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Near-Optimal Multi-Agent Learning for Safe Coverage Control
2022/10/12 by Prajapat, Manish, Turchetta, Matteo, Zeilinger, Melanie N. +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Robotics (cs.RO)
- Neural Contextual Bandits without Regret
2021/07/07 by Kassraie, Parnian, Krause, Andreas · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- International Scientific Report on the Safety of Advanced AI (Interim Report)
2024/11/05 by Bengio, Yoshua, Mindermann, Sören, Privitera, Daniel +41 · 2 citations
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences
- Generative Intervention Models for Causal Perturbation Modeling
2024/11/21 by Nora Schneider, Lars Lorch, Schneider, Nora +7 · 2 citations
Decision Sciences · #Simulation Techniques and Applications
- Fast Projection Onto Convex Smooth Constraints
2021/09/20 by Usmanova, Ilnura, Kamgarpour, Maryam, Krause, Andreas +1 · 1 citation
#FOS: Mathematics #Optimization and Control (math.OC)
- Hierarchical Skills for Efficient Exploration
2021/10/20 by Gehring, Jonas, Synnaeve, Gabriel, Krause, Andreas +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
2022/03/14 by Pier Giuseppe Sessa, Maryam Kamgarpour, Sessa, Pier Giuseppe +3 · 1 citation
Computer Science · Energy · #Data Stream Mining Techniques #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
- Directed Exploration in Reinforcement Learning from Linear Temporal Logic
2024/08/18 by Marco Bagatella, Bagatella, Marco, Andreas Krause +3 · 2 citations
Computer Science · #Logic, Reasoning, and Knowledge #Multi-Agent Systems and Negotiation
- Online Active Model Selection for Pre-trained Classifiers
2020/10/19 by Karimi, Mohammad Reza, Gürel, Nezihe Merve, Karlaš, Bojan +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Replicable Bandits
2022/10/04 by Hossein Esfandiari, Esfandiari, Hossein, Alkis Kalavasis +9 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Safe Reinforcement Learning via Confidence-Based Filters
2022/07/04 by Curi, Sebastian, Lederer, Armin, Hirche, Sandra +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
- NeoRL: Efficient Exploration for Nonepisodic RL
2024/06/03 by Sukhija, Bhavya, Treven, Lenart, Dörfler, Florian +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
2025/05/26 by Leander Diaz-Bone, Marco Bagatella, Diaz-Bone, Leander +5 · 4 citations
Psychology · Computer Science · #Behavioral and Psychological Studies #Software Engineering Research #Advanced Software Engineering Methodologies
- A domain agnostic measure for monitoring and evaluating GANs
2018/11/13 by Paulina Grnarova, Kfir Y. Levy, Grnarova, Paulina +11 · 1 citation
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
- Near-optimal Policy Identification in Active Reinforcement Learning
2022/12/19 by Xiang Li, Viraj Mehta, Li, Xiang +13 · 1 citation
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
- Aligned Diffusion Schrödinger Bridges
2023/02/22 by Vignesh Ram Somnath, Matteo Pariset, Somnath, Vignesh Ram +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- A Scalable Walsh-Hadamard Regularizer to Overcome the Low-degree Spectral Bias of Neural Networks
2023/05/16 by Gorji, Ali, Amrollahi, Andisheh, Krause, Andreas · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Unbalanced Diffusion Schrödinger Bridge
2023/06/15 by Pariset, Matteo, Hsieh, Ya-Ping, Bunne, Charlotte +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Provably Learning Nash Policies in Constrained Markov Potential Games
2023/06/13 by Pragnya Alatur, Giorgia Ramponi, Alatur, Pragnya +5 · 1 citation
Computer Science · Engineering · #Autonomous Vehicle Technology and Safety #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
- Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
2023/11/13 by Arjun Bhardwaj, Jonas Rothfuss, Bhardwaj, Arjun +11 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Residual Deep Gaussian Processes on Manifolds
2024/10/31 by Kacper Wyrwal, Wyrwal, Kacper, Andreas Krause +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
2021/03/18 by Curi, Sebastian, Bogunovic, Ilija, Krause, Andreas · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
2022/02/03 by Ilija Bogunovic, Bogunovic, Ilija, Zihan Li +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Isotropic Gaussian Processes on Finite Spaces of Graphs
2022/11/03 by Borovitskiy, Viacheslav, Karimi, Mohammad Reza, Somnath, Vignesh Ram +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Test-Time Tuned Language Models Enable End-to-end De Novo Molecular Structure Generation from MS/MS Spectra
2025/10/27 by Mismetti, Laura, Alberts, Marvin, Krause, Andreas +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
2025/09/17 by Apertus, Project, Hernández-Cano, Alejandro, Hägele, Alexander +100 · 9 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Active Few-Shot Fine-Tuning
2024/02/13 by Jonas Hübotter, Hübotter, Jonas, Bhavya Sukhija +7 · 1 citation
Physics and Astronomy · Engineering · #Advanced Optical Sensing Technologies #Integrated Circuits and Semiconductor Failure Analysis
- Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
2022/07/21 by Usmanova, Ilnura, As, Yarden, Kamgarpour, Maryam +1 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
2025/03/13 by Albaba, Mert, Li, Chenhao, Diomataris, Markos +3 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Confidence Estimation via Sequential Likelihood Mixing
2025/02/20 by Johannes Kirschner, Andreas Krause, Kirschner, Johannes +5 · 2 voices · 1 citation
#stat.ML #cs.LG
- All models are wrong, some are useful: Model Selection with Limited Labels
2024/10/17 by Patrik Okanovic, Andreas Kirsch, Okanovic, Patrik +8 · 2 citations
Computer Science · #Machine Learning and Data Classification
- Test-time Offline Reinforcement Learning on Goal-related Experience
2025/07/24 by Bagatella, Marco, Albaba, Mert, Hübotter, Jonas +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Bandits with Preference Feedback: A Stackelberg Game Perspective
2024/06/24 by Barna Pásztor, Parnian Kassraie, Pásztor, Barna +3 · 1 citation
Decision Sciences · Business, Management and Accounting · #Decision-Making and Behavioral Economics #Advanced Bandit Algorithms Research #Consumer Market Behavior and Pricing
- Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
2025/05/20 by Bertolissi, Ryo, Hübotter, Jonas, Hakimi, Ido +1 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Stochastic Model Predictive Control for Sub-Gaussian Noise
2025/03/11 by Yunke Ao, Johannes Köhler, Ao, Yunke +11 · 3 citations
Engineering · #Advanced Control Systems Optimization #Control Systems and Identification
- Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator
2025/04/23 by Li, Chenhao, Krause, Andreas, Hutter, Marco · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery
2025/08/08 by Ao, Yunke, Prajapat, Manish, As, Yarden +6 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
2024/09/27 by Melis İlayda Bal, Bal, Melis Ilayda, Pier Giuseppe Sessa +5 · 1 citation
Business, Management and Accounting · Computer Science · #Consumer Market Behavior and Pricing #Advanced Multi-Objective Optimization Algorithms
- Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
2024/07/18 by Riccardo De Santi, De Santi, Riccardo, Federico Arangath Joseph +7 · 1 citation
Computer Science · #AI-based Problem Solving and Planning #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotic Path Planning Algorithms
- Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
2025/07/08 by Chenhao Li, Marco Hutter, Li, Chenhao +3 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
2025/02/03 by Bao, Kaixi, Li, Chenhao, As, Yarden +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning
2025/07/24 by Otth, Matthias, Hübotter, Jonas, Hakimi, Ido +1 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)