Showing 1–20 of 35 results
/ Date/ Name
Sep 19, 2024The Central Role of the Loss Function in Reinforcement LearningFeb 19, 2022Doubly Robust Distributionally Robust Off-Policy Evaluation and LearningMay 16, 2018Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-TomographyMay 31, 2018Respond-CAM: Analyzing Deep Models for 3D Imaging Data by VisualizationsJul 12, 2022Learning Bellman Complete Representations for Offline Policy EvaluationNov 17, 2025Towards Metric-Aware Multi-Person Mesh Recovery by Jointly Optimizing Human Crowd in Camera SpaceMay 25, 2023The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement LearningMay 23, 2025Value-Guided Search for Efficient Chain-of-Thought ReasoningFeb 11, 2025Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous DrivingFeb 7, 2023Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaRJul 22, 2024Conditional Language Policy: A General Framework for Steerable Multi-Objective FinetuningApr 6, 2026BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in BoxingJul 21, 2023JoinGym: An Efficient Query Optimization Environment for Reinforcement LearningFeb 11, 2024More Benefits of Being Distributional: Second-Order Bounds for Reinforcement LearningDec 19, 2020Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree LearningAug 18, 2024Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object DetectionMar 23, 2024Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility ConditionsMar 10, 2024A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty EquivalentsJan 16, 2026BoxMind: Closed-loop AI strategy optimization for elite boxing validated in the 2024 OlympicsDec 12, 2020NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis