regret bound

Expert with clustering: Hierarchical online preference learning framework L4DC 2024 Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring ICML 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Fair Online Bilateral Trade NeurIPS 2024 Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits ICML 2024 Faster Recalibration of an Online Predictor via Approachability AISTATS 2024 Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets NeurIPS 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Federated X-armed Bandit AAAI 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation ICML 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 Forced Exploration in Bandit Problems AAAI 2024 From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization NeurIPS 2024 Fully Unconstrained Online Learning NeurIPS 2024 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Generalized Linear Bandits with Limited Adaptivity NeurIPS 2024 Goodhart's Law in Reinforcement Learning ICLR 2024 Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 Graph Feedback Bandits with Similar Arms UAI 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024