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Online Algorithms

2190 directly classified papers

Papers per year

Papers

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds NIPS 2022
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022
An $\alpha$-regret analysis of Adversarial Bilateral Trade NIPS 2022
Conformal Frequency Estimation with Sketched Data NIPS 2022
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs NIPS 2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms NIPS 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022
On Kernelized Multi-Armed Bandits with Constraints NIPS 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem NIPS 2022
Lipschitz Bandits with Batched Feedback NIPS 2022
Online Decision Mediation NIPS 2022
Training Subset Selection for Weak Supervision NIPS 2022
Online Algorithms for the Santa Claus Problem NIPS 2022
Safe Subgame Resolving for Extensive Form Correlated Equilibrium AAAI 2022
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NIPS 2022
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022
Minimax Regret for Cascading Bandits NIPS 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NIPS 2022
Product Ranking for Revenue Maximization with Multiple Purchases NIPS 2022
Dynamic Learning in Large Matching Markets NIPS 2022
Algorithms with Prediction Portfolios NIPS 2022
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments ACML 2022
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization ACML 2022
CVaR-Regret Bounds for Multi-armed Bandits ACML 2022
Dynamic Fair Division with Partial Information NIPS 2022