sublinear regret

Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design COLT 2026 Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026 Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise UAI 2026 Causal Logistic Bandits with Counterfactual Fairness Constraints ICML 2025 Computing Optimal Regularizers for Online Linear Optimization COLT 2025 Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play COLT 2025 Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025 Learning Adversarial MDPs with Stochastic Hard Constraints ICML 2025 Linear Bandits with Partially Observable Features ICML 2025 Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF ICML 2025 Reinforcement Learning from Multi-level and Episodic Human Feedback L4DC 2025 Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction ICML 2025 A Contextual Combinatorial Bandit Approach to Negotiation ICML 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Fully Unconstrained Online Learning NeurIPS 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 Incentivized Truthful Communication for Federated Bandits ICLR 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NeurIPS 2024 Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning with Off-Policy Feedback in Adversarial MDPs IJCAI 2024