Online Learning

Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Federated Learning for Data Streams AISTATS 2023 Fully-Adaptive Composition in Differential Privacy ICML 2023 Fully Dynamic Online Selection through Online Contention Resolution Schemes AAAI 2023 Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits AISTATS 2023 Graph-Aided Online Multi-Kernel Learning JMLR 2023 High-dimensional Contextual Bandit Problem without Sparsity NeurIPS 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 Human-in-the-Loop Vehicle ReID AAAI 2023 Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023 Improved Online Learning Algorithms for CTR Prediction in Ad Auctions ICML 2023 Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023 Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023 Individually Fair Learning with One-Sided Feedback ICML 2023 Last Switch Dependent Bandits with Monotone Payoff Functions ICML 2023 Learning Functional Distributions with Private Labels ICML 2023 Learning in temporally structured environments ICLR 2023 Learning Rate Schedules in the Presence of Distribution Shift ICML 2023 Learning to Rank under Multinomial Logit Choice JMLR 2023 Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB AISTATS 2023 Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023 List Online Classification COLT 2023 Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NeurIPS 2023