Online Algorithms

Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022 Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NeurIPS 2022 Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022 Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback NeurIPS 2022 Fourier Learning with Cyclical Data ICML 2022 Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems UAI 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Instance Dependent Regret Analysis of Kernelized Bandits ICML 2022 k-experts - Online Policies and Fundamental Limits AISTATS 2022 Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022 Luckiness in Multiscale Online Learning NeurIPS 2022 Making SGD Parameter-Free COLT 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 Maximizing and Satisficing in Multi-armed Bandits with Graph Information NeurIPS 2022 Mechanism Design with Predictions IJCAI 2022 Minimal Expected Regret in Linear Quadratic Control AISTATS 2022 Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022 Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications IJCAI 2022 Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms ICML 2022 NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics NAACL 2022 New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees COLT 2022 Non-convex online learning via algorithmic equivalence NeurIPS 2022 Non-stationary Online Learning with Memory and Non-stochastic Control AISTATS 2022 Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022