Jeff Schneider
- High Dimensional Bayesian Optimisation and Bandits via Additive Models
2015/03/05 by Kirthevasan Kandasamy, Jeff Schneider, Kandasamy, Kirthevasan +3 · 19 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
- Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
2018/09/18 by Henggang Cui, Vladan Radosavljević, Cui, Henggang +13 · 16 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO) #Video Surveillance and Tracking Methods
- Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
2024/04/22 by Fahim Tajwar, Tajwar, Fahim, Anikait Singh +15 · 27 citations
Decision Sciences · Economics, Econometrics and Finance · #Efficiency Analysis Using DEA #Healthcare Policy and Management #Auction Theory and Applications
- Uncertainty-aware Short-term Motion Prediction of Traffic Actors for\n Autonomous Driving
2018/08/17 by Nemanja Djuric, Djuric, Nemanja, Vladan Radosavljević +15 · 12 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO) #Traffic Prediction and Management Techniques
- ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
2019/08/05 by Ksenia Korovina, Sailun Xu, Korovina, Ksenia +11 · 11 citations
Computer Science · Materials Science · Engineering · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Process Optimization and Integration
- Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
2020/11/18 by Youngseog Chung, Chung, Youngseog, Willie Neiswanger +5 · 11 citations
Engineering · Decision Sciences · Computer Science · #Fault Detection and Control Systems #Probabilistic and Robust Engineering Design #Adversarial Robustness in Machine Learning
- Nonparametric Divergence Estimation with Applications to Machine\n Learning on Distributions
2012/02/14 by Barnabás Póczos, Liang Xiong, Poczos, Barnabas +3 · 8 citations
Computer Science · #Bayesian Methods and Mixture Models #Anomaly Detection Techniques and Applications #Gaussian Processes and Bayesian Inference
- Equivariance Through Parameter-Sharing
2017/02/27 by Siamak Ravanbakhsh, Jeff Schneider, Ravanbakhsh, Siamak +3 · 6 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE)
- Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
2021/09/21 by Youngseog Chung, Ian Char, Chung, Youngseog +7 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Sample Efficient Preference Alignment in LLMs via Active Exploration
2023/12/01 by Viraj Mehta, Mehta, Viraj, Belakaria, Syrine +14 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Speech and dialogue systems #Topic Modeling
- Reasoning with Latent Diffusion in Offline Reinforcement Learning
2023/09/12 by Siddarth Venkatraman, Venkatraman, Siddarth, Shivesh Khaitan +9 · 4 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Training a Generally Curious Agent
2025/02/24 by Fahim Tajwar, Yiding Jiang, Tajwar, Fahim +10 · 8 citations
Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
2019/03/15 by Kirthevasan Kandasamy, Karun Raju Vysyaraju, Kandasamy, Kirthevasan +13 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #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
- Deep Learning with Sets and Point Clouds
2016/11/14 by Siamak Ravanbakhsh, Ravanbakhsh, Siamak, Jeff Schneider +3 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- How Useful are Gradients for OOD Detection Really?
2022/05/20 by Conor Igoe, Igoe, Conor, Youngseog Chung +5 · 2 citations
Computer Science · Environmental Science · #Air Quality Monitoring and Forecasting #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
2024/10/15 by Jiayu Chen, Chen, Jiayu, Wentse Chen +4 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Kernels on Sample Sets via Nonparametric Divergence Estimates
2012/02/01 by Danica J. Sutherland, Sutherland, Danica J., Liang Xiong +5 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Interactive Visualization for Debugging RL
2020/08/14 by Shuby Deshpande, Deshpande, Shuby, Benjamin Eysenbach +3 · 1 citation
Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Software Engineering Research #Sports Analytics and Performance
- Planning with Adaptive World Models for Autonomous Driving
2024/06/15 by Arun Balajee Vasudevan, Vasudevan, Arun Balajee, Neehar Peri +5 · 2 citations
Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Machine Learning methods for interatomic potentials: application to boron carbide
2015/12/30 by Qin Gao, Sanxi Yao, Gao, Qin +5 · 1 citation
Materials Science · #Boron and Carbon Nanomaterials Research #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
- Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
2022/07/21 by Adam Villaflor, Villaflor, Adam, Zhe Huang +7 · 1 citation
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety #Reinforcement Learning in Robotics
- Exploration via Planning for Information about the Optimal Trajectory
2022/10/06 by Viraj Mehta, Mehta, Viraj, Ian Char +13 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Data Stream Mining Techniques
- 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
- Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
2025/07/17 by Yiqi Wang, Wang, Yiqi, Mrinal Verghese +3 · 4 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO) #Topic Modeling
- Measure Preserving Flows for Ergodic Search in Convoluted Environments
2024/09/13 by Albert Xu, Xu, Albert, Bhaskar Vundurthy +9 · 1 citation
Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Optimization and Search Problems #Robotics (cs.RO)