Online Algorithms

Online robust non-stationary estimation NeurIPS 2023 Online Saddle Point Tracking with Decision-Dependent Data L4DC 2023 Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States ALT 2023 Online Symbolic Regression with Informative Query AAAI 2023 Online Task Assignment with Controllable Processing Time IJCAI 2023 On Preemption and Learning in Stochastic Scheduling ICML 2023 On Private and Robust Bandits NeurIPS 2023 On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds NeurIPS 2023 On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence NeurIPS 2023 On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023 On the Convergence of No-Regret Learning Dynamics in Time-Varying Games NeurIPS 2023 On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm ICML 2023 On the Existence of a Complexity in Fixed Budget Bandit Identification COLT 2023 On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis NeurIPS 2023 On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023 On the Minimax Regret for Online Learning with Feedback Graphs NeurIPS 2023 On the Sublinear Regret of GP-UCB NeurIPS 2023 On Universal Portfolios with Continuous Side Information AISTATS 2023 Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023 Optimal Arms Identification with Knapsacks ICML 2023 Optimal cross-learning for contextual bandits with unknown context distributions NeurIPS 2023 Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023 Optimal Learners for Realizable Regression: PAC Learning and Online Learning NeurIPS 2023 Optimal No-Regret Learning for One-Sided Lipschitz Functions ICML 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NeurIPS 2023