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Online Algorithms

2190 directly classified papers

Papers per year

Papers

Understanding the Role of Feedback in Online Learning with Switching Costs ICML 2023
Multiplier Bootstrap-based Exploration ICML 2023
A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas IJCAI 2023
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract) AAAI 2023
Online Platt Scaling with Calibeating ICML 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
A PDE approach for regret bounds under partial monitoring JMLR 2023
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime ICML 2023
Delegated Online Search IJCAI 2023
Generalized Implicit Follow-The-Regularized-Leader ICML 2023
Online Algorithms with Costly Predictions AISTATS 2023
Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023
Topological Planning with Post-unique and Unary Actions IJCAI 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023
Adapting to game trees in zero-sum imperfect information games ICML 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization ICML 2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization ICML 2023
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation AISTATS 2023
Competing against Adaptive Strategies in Online Learning via Hints AISTATS 2023
Doubly Fair Dynamic Pricing AISTATS 2023
Pareto Regret Analyses in Multi-objective Multi-armed Bandit ICML 2023
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems AISTATS 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023