no-regret algorithm

Computational Intractability of Strategizing against Online Learners COLT 2025 Improved and Oracle-Efficient Online ℓ_1-Multicalibration ICML 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures AISTATS 2025 Second Order Bounds for Contextual Bandits with Function Approximation ICLR 2025 Bandits with Ranking Feedback NeurIPS 2024 Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024 Contextual Pandora’s Box AAAI 2024 Contracting with a Learning Agent NeurIPS 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Online Cascade Learning for Efficient Inference over Streams ICML 2024 Online Information Acquisition: Hiring Multiple Agents ICLR 2024 Bayesian Optimization with Cost-varying Variable Subsets NeurIPS 2023 Is Learning in Games Good for the Learners? NeurIPS 2023 Mitigating Transformer Overconfidence via Lipschitz Regularization UAI 2023 No-regret Algorithms for Fair Resource Allocation NeurIPS 2023 No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023 Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations NeurIPS 2023 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games NeurIPS 2022 Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games NeurIPS 2022 Smoothed Online Learning is as Easy as Statistical Learning COLT 2022 Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021 Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds ALT 2021 AI for Social Good: Between My Research and the Real World AAAI 2021