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Online Algorithms

803 directly classified papers

Papers per year

Papers

Trading Off Resource Budgets For Improved Regret Bounds NIPS 2022
Stochastic Rising Bandits ICML 2022
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022
Online Learning and Pricing for Network Revenue Management with Reusable Resources NIPS 2022
Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022
Breaking the $\sqrtT$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits ICML 2022
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles AAAI 2022
Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022
Matching in Multi-arm Bandit with Collision NIPS 2022
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022
Efficient Methods for Non-stationary Online Learning NIPS 2022
Minimal Expected Regret in Linear Quadratic Control AISTATS 2022
Luckiness in Multiscale Online Learning NIPS 2022
Learning to Price Against a Moving Target ICML 2021
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits AISTATS 2021
Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021
Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits EMNLP 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021
Leveraging Good Representations in Linear Contextual Bandits ICML 2021
Reinforcement Learning with Trajectory Feedback AAAI 2021
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021
Parametric Graph for Unimodal Ranking Bandit ICML 2021
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits NIPS 2021