Online Learning

Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Control of Unknown (Linear) Systems with Receding Horizon Learning L4DC 2021 Data driven semi-supervised learning NeurIPS 2021 Decentralized Learning in Online Queuing Systems NeurIPS 2021 Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ICML 2021 Design of Experiments for Stochastic Contextual Linear Bandits NeurIPS 2021 Double Explore-then-Commit: Asymptotic Optimality and Beyond COLT 2021 Doubly Robust Thompson Sampling with Linear Payoffs NeurIPS 2021 DriftSurf: Stable-State / Reactive-State Learning under Concept Drift ICML 2021 Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NeurIPS 2021 Dueling Bandits with Team Comparisons NeurIPS 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 Dynamic Planning and Learning under Recovering Rewards ICML 2021 Efficient Bandit Convex Optimization: Beyond Linear Losses COLT 2021 Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination NeurIPS 2021 Efficient Online Learning for Dynamic k-Clustering ICML 2021 Expert advice problem with noisy low rank loss ACML 2021 Exponential Weights Algorithms for Selective Learning COLT 2021 Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021 Fast Rate Learning in Stochastic First Price Bidding ACML 2021 Fast rates for prediction with limited expert advice NeurIPS 2021 Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights NeurIPS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 Gaming Helps! Learning from Strategic Interactions in Natural Dynamics AISTATS 2021 Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021