Andreas Krause
- 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 · 58 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
- Coresets via Bilevel Optimization for Continual Learning and Streaming
2020/06/06 by Zalán Borsos, Borsos, Zalán, Mojmír Mutný +3 · 24 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
- Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation
2015/02/05 by Pete Trautman, Jeremy Ma, Richard M. Murray +1 · 14 citations
Engineering · Computer Science · #Evacuation and Crowd Dynamics #Robotic Path Planning Algorithms #Anomaly Detection Techniques and Applications
- Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process\n Bandit Optimization
2012/06/27 by Thomas Desautels, Desautels, Thomas, Andreas Krause +3 · 11 citations
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Advanced Bandit Algorithms Research
- Bayesian Optimization with Safety Constraints: Safe and Automatic\n Parameter Tuning in Robotics
2016/02/14 by Felix Berkenkamp, Andreas Krause, Berkenkamp, Felix +3 · 10 citations
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Fault Detection and Control Systems #Machine Learning and Algorithms
- Guarantees for Greedy Maximization of Non-submodular Functions with Applications
2017/03/06 by Joachim M. Buhmann, Bian, Andrew An, Andreas Krause +4 · 13 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
- Information Directed Sampling and Bandits with Heteroscedastic Noise
2018/01/29 by Johannes Kirschner, Kirschner, Johannes, Andreas Krause +1 · 12 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Machine Learning and Algorithms
- The Schrödinger Bridge between Gaussian Measures has a Closed Form
2022/02/11 by Charlotte Bunne, Bunne, Charlotte, Ya‐Ping Hsieh +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
- Learning-based Model Predictive Control for Safe Exploration
2018/03/22 by Torsten Koller, Koller, Torsten, Felix Berkenkamp +5 · 10 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
- Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
2020/06/15 by Sebastian Curi, Curi, Sebastian, Felix Berkenkamp +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
- Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
2024/10/10 by Jonas Hübotter, Sascha Bongni, Hübotter, Jonas +5 · 3 voices · 18 citations
Computer Science · #Machine Learning and Algorithms #cs.AI #cs.LG
- Learning Graph Models for Retrosynthesis Prediction
2020/06/12 by Vignesh Ram Somnath, Somnath, Vignesh Ram, Charlotte Bunne +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
- Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
2019/02/08 by Johannes Kirschner, Mojmír Mutný, Kirschner, Johannes +7 · 8 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)
- Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
2022/06/27 by Max B. Paulus, Giulia Zarpellon, Paulus, Max B. +7 · 10 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Manufacturing Process and Optimization #Optimization and Control (math.OC) #Software Engineering Research
- Active Bayesian Causal Inference
2022/06/04 by Christian Toth, Lars Lorch, Toth, Christian +11 · 1 voice · 7 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)
- 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\n Decision Making
2018/06/13 by Hoda Heidari, Heidari, Hoda, Claudio Ferrari +5 · 6 citations
Decision Sciences · Social Sciences · #Artificial Intelligence (cs.AI) #Decision-Making and Behavioral Economics #Ethics and Social Impacts of AI #Experimental Behavioral Economics Studies #FOS: Computer and information sciences
- Reinforcement Learning via Self-Distillation
2026/01/28 by Jonas Hübotter, Frederike Lübeck, Lejs Behric +8 · 5 voices · 12 citations
#cs.LG #cs.AI
- Proximal Optimal Transport Modeling of Population Dynamics
2021/06/11 by Charlotte Bunne, Laetitia Meng-Papaxanthos, Bunne, Charlotte +5 · 6 citations
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
- International AI Safety Report
2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 18 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)
- A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
2018/05/26 by Eric Schulz, Maarten Speekenbrink, Andreas Krause · 6 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
- Adaptive Submodular Optimization under Matroid Constraints
2011/01/24 by Daniel Golovin, Golovin, Daniel, Andreas Krause +1 · 4 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
- Information-Directed Exploration for Deep Reinforcement Learning
2018/12/18 by Nikolay Nıkolov, Nikolov, Nikolay, Johannes Kirschner +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
- Supervised Training of Conditional Monge Maps
2022/06/28 by Charlotte Bunne, Bunne, Charlotte, Andreas Krause +3 · 6 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
- Transductive Active Learning: Theory and Applications
2024/02/13 by Jonas Hübotter, Bhavya Sukhija, Hübotter, Jonas +7 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Information Directed Reward Learning for Reinforcement Learning
2021/02/24 by David Lindner, Matteo Turchetta, Lindner, David +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
- Information Directed Sampling for Linear Partial Monitoring
2020/02/25 by Johannes Kirschner, Kirschner, Johannes, Tor Lattimore +3 · 5 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
- No-Regret Bayesian Optimization with Unknown Hyperparameters
2019/01/10 by Felix Berkenkamp, Angela P. Schoellig, Berkenkamp, Felix +3 · 4 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)
- Multi-Scale Representation Learning on Proteins
2022/04/04 by Vignesh Ram Somnath, Charlotte Bunne, Somnath, Vignesh Ram +3 · 5 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
- Logistic Q-Learning
2020/10/21 by Joan Bas-Serrano, Sebastian Curi, Bas-Serrano, Joan +5 · 5 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adaptive Dynamic Programming Control
- Optimistic Active Exploration of Dynamical Systems
2023/06/21 by Bhavya Sukhija, Lenart Treven, Sukhija, Bhavya +9 · 8 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
- Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
2019/06/27 by Torsten Koller, Felix Berkenkamp, Koller, Torsten +7 · 4 citations
Engineering · Computer Science · #Advanced Control Systems Optimization #Control Systems and Identification #Reinforcement Learning in Robotics
- Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
2025/09/17 by Project Apertus, Alejandro Hernández-Cano, Apertus, Project +203 · 4 voices · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- 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
- 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
- Riemannian stochastic optimization methods avoid strict saddle points
2023/11/04 by Ya‐Ping Hsieh, Hsieh, Ya-Ping, Mohammad Reza Karimi +5 · 5 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques #Gaussian Processes and Bayesian Inference
- Joint Optimization and Variable Selection of High-dimensional Gaussian\n Processes
2012/06/27 by Bo Chen, Chen, Bo, Rui M. Castro +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, Andrey Kolobov, Turchetta, Matteo +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)
- Learning To Dive In Branch And Bound
2023/01/24 by Max B. Paulus, Andreas Krause, Paulus, Max B. +1 · 4 citations
Computer Science · Engineering · #Cloud Computing and Resource Management #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Optimization and Search Problems #Scheduling and Optimization Algorithms
- Efficient Exploration in Continuous-time Model-based Reinforcement Learning
2023/10/30 by Lenart Treven, Jonas Hübotter, Treven, Lenart +7 · 7 citations
Computer Science · Psychology · Medicine · #Gaussian Processes and Bayesian Inference #Mental Health Research Topics #Heart Rate Variability and Autonomic Control
- Hierarchical Skills for Efficient Exploration
2021/10/20 by Jonas Gehring, Gehring, Jonas, Gabriel Synnaeve +5 · 3 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
2024/12/16 by Bhavya Sukhija, Sukhija, Bhavya, Stelian Coros +7 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Continuous DR-submodular Maximization: Structure and Algorithms
2017/11/04 by An Bian, Bian, An, Kfir Y. Levy +5 · 2 citations
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
- Proper Proxy Scoring Rules
2017/02/10 by Jens Witkowski, Pavel Atanasov, Lyle Ungar +1 · 1 voice · 2 citations
Decision Sciences · Economics, Econometrics and Finance · #Decision-Making and Behavioral Economics #Forecasting Techniques and Applications #Sports Analytics and Performance
- Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning
2019/02/13 by Megha Srivastava, Hoda Heidari, Srivastava, Megha +3 · 2 citations
Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
- Safe Exploration for Interactive Machine Learning
2019/10/30 by Matteo Turchetta, Felix Berkenkamp, Turchetta, Matteo +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Robotics (cs.RO)
- Contextual Bilevel Reinforcement Learning for Incentive Alignment
2024/06/03 by Vinzenz Thoma, Barna Pásztor, Thoma, Vinzenz +7 · 5 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
- Active Exploration for Inverse Reinforcement Learning
2022/07/18 by David Lindner, Lindner, David, Andreas Krause +3 · 3 citations
Computer Science · Energy · #Artificial Intelligence (cs.AI) #Energy Efficiency and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Software Engineering Research
- Model-based Causal Bayesian Optimization
2022/11/18 by Scott Sussex, Anastasiia Makarova, Sussex, Scott +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
- Automatic Termination for Hyperparameter Optimization
2021/04/16 by Anastasia Makarova, Huibin Shen, Makarova, Anastasia +13 · 2 citations
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
- Near-Optimal Multi-Perturbation Experimental Design for Causal Structure\n Learning
2021/05/28 by Scott Sussex, Andreas Krause, Sussex, Scott +3 · 2 citations
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
- 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
- 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, Karimi, Mohammad Reza, Ya‐Ping Hsieh +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, Mutný, Mojmír, Tadeusz J. Janik +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, Charlotte Bunne, Chevalley, Mathieu +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
- Bridging the Sim-to-Real Gap with Bayesian Inference
2024/03/25 by Jonas Rothfuss, Bhavya Sukhija, Rothfuss, Jonas +9 · 5 citations
Decision Sciences · #Scientific Computing and Data Management #Simulation Techniques and Applications
- Diversified Sampling for Batched Bayesian Optimization with\n Determinantal Point Processes
2021/10/22 by Elvis Nava, Mojmír Mutný, Nava, Elvis +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 #Risk and Portfolio Optimization
- Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications
2023/02/07 by Johannes Kirschner, Tor Lattimore, Kirschner, Johannes +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)
- Optimizing waypoints for monitoring spatiotemporal phenomena
2013/07/01 by Jonathan Binney, Andreas Krause, Gaurav S. Sukhatme · 1 citation
- Near-Optimally Teaching the Crowd to Classify
2014/02/10 by Adish Singla, Ilija Bogunovic, Singla, Adish +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Mobile Crowdsensing and Crowdsourcing
- ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
2024/10/12 by Yarden As, Bhavya Sukhija, As, Yarden +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
- 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
- Active Fine-Tuning of Multi-Task Policies
2024/10/07 by Marco Bagatella, Jonas Hübotter, Bagatella, Marco +5 · 5 citations
Decision Sciences · #Complex Systems and Decision Making #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- A domain agnostic measure for monitoring and evaluating GANs
2018/11/13 by Paulina Grnarova, Kfir Y. Levy, Grnarova, Paulina +11 · 2 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
- 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
- Learning User Preferences to Incentivize Exploration in the Sharing\n Economy
2017/11/17 by Christoph Hirnschall, Hirnschall, Christoph, Adish Singla +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
- Fast Gaussian Process Based Gradient Matching for Parameter\n Identification in Systems of Nonlinear ODEs
2018/04/12 by Philippe Wenk, Alkis Gotovos, Wenk, Philippe +8 · 1 citation
Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- No-Regret Learning in Unknown Games with Correlated Payoffs
2019/09/18 by Pier Giuseppe Sessa, Sessa, Pier Giuseppe, Ilija Bogunovic +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
- 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
- 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)
- Bias-Robust Bayesian Optimization via Dueling Bandits
2021/05/25 by Johannes Kirschner, Kirschner, Johannes, Andreas Krause +1 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Reinforcement Learning in Robotics
- Generative Intervention Models for Causal Perturbation Modeling
2024/11/21 by Nora Schneider, Schneider, Nora, Lars Lorch +7 · 2 citations
Decision Sciences · #Simulation Techniques and Applications
- 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, Andreas Krause, Bagatella, Marco +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 Mohammad Reza Karimi, Karimi, Mohammad Reza, Nezihe Merve Gürel +9 · 1 citation
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
2025/05/26 by Leander Diaz-Bone, Marco Bagatella, Diaz-Bone, Leander +5 · 5 citations
Psychology · Computer Science · #Behavioral and Psychological Studies #Software Engineering Research #Advanced Software Engineering Methodologies
- Replicable Bandits
2022/10/04 by Hossein Esfandiari, Alkis Kalavasis, Esfandiari, Hossein +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
- Confidence Estimation via Sequential Likelihood Mixing
2025/02/20 by Johannes Kirschner, Andreas Krause, Kirschner, Johannes +5 · 2 voices · 2 citations
#stat.ML #cs.LG
- Production of wood-based panel from recycled wood resource: a literature review
2023/02/17 by Duy Linh Nguyen, Jan Luedtke, Martin Nopens +1 · 1 citation
- 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, Somnath, Vignesh Ram, Matteo Pariset +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)
- Work until you drop: Effects of work overload, prolonging working hours, and autonomy need satisfaction on exhaustion in teachers
2022/08/05 by Anita Sandmeier, Sophie Baeriswyl, Andreas Krause +1 · 1 citation
Business, Management and Accounting · Health Professions · Psychology · #Job Satisfaction and Organizational Behavior #Workplace Health and Well-being #Stress and Burnout Research
- Unbalanced Diffusion Schrödinger Bridge
2023/06/15 by Matteo Pariset, Pariset, Matteo, Ya‐Ping Hsieh +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · #Advanced Biosensing Techniques and Applications #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth
- 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, Bhardwaj, Arjun, Jonas Rothfuss +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, Andreas Krause, Wyrwal, Kacper +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #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, Zihan Li, Bogunovic, Ilija +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)
- 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
- 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
- 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
- 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
- Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
2024/09/27 by Melis İlayda Bal, Pier Giuseppe Sessa, Bal, Melis Ilayda +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, Federico Arangath Joseph, De Santi, Riccardo +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, Li, Chenhao, Marco Hutter +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)
- Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning
2025/07/24 by Matthias Otth, Otth, Matthias, Jonas Hübotter +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing
- Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models
2026/07/16 by Patrik Wolf, Thomas Kleine Buening, Andreas Krause +1
#cs.CL