batch learning

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits ICLR 2025 A General Framework for Sequential Decision-Making under Adaptivity Constraints ICML 2024 Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Smoothed Online Classification can be Harder than Batch Classification NeurIPS 2024 BASiS: Batch Aligned Spectral Embedding Space CVPR 2023 On the Learnability of Multilabel Ranking NeurIPS 2023 Strategic Classification with Unknown User Manipulations ICML 2023 Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022 Design of Experiments for Stochastic Contextual Linear Bandits NeurIPS 2021 Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL ICML 2021 Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NeurIPS 2021 What Matters in Learning from Offline Human Demonstrations for Robot Manipulation CoRL 2021 A General Method for Robust Learning from Batches NeurIPS 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Inference for Batched Bandits NeurIPS 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 Optimal Robust Learning of Discrete Distributions from Batches ICML 2020 POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020 Batched Multi-armed Bandits Problem NeurIPS 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Truly Batch Apprenticeship Learning with Deep Successor Features IJCAI 2019