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Online Algorithms

2,192 papers

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Papers

Regularized Online Allocation Problems: Fairness and Beyond ICML 2021
Beyond $log^2(T)$ regret for decentralized bandits in matching markets ICML 2021
Optimal Thompson Sampling strategies for support-aware CVaR bandits ICML 2021
On Limited-Memory Subsampling Strategies for Bandits ICML 2021
Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
Multi-Receiver Online Bayesian Persuasion ICML 2021
Best Model Identification: A Rested Bandit Formulation ICML 2021
Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021
Fairness and Bias in Online Selection ICML 2021
Learning Online Algorithms with Distributional Advice ICML 2021
Online Learning with Optimism and Delay ICML 2021
Online A-Optimal Design and Active Linear Regression ICML 2021
Efficient Online Learning for Dynamic k-Clustering ICML 2021
The Power of Adaptivity for Stochastic Submodular Cover ICML 2021
Adapting to Delays and Data in Adversarial Multi-Armed Bandits ICML 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach ICML 2021
Adversarial Combinatorial Bandits with General Non-linear Reward Functions ICML 2021
Boosting for Online Convex Optimization ICML 2021
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021
Online Selection Problems against Constrained Adversary ICML 2021
Optimal Streaming Algorithms for Multi-Armed Bandits ICML 2021