Online Algorithms

Fairness and Efficiency in Online Class Matching NeurIPS 2024 Fair Online Bilateral Trade NeurIPS 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 Faster Convergence with MultiWay Preferences AISTATS 2024 Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NeurIPS 2024 Fast White-Box Adversarial Streaming Without a Random Oracle ICML 2024 Federated Combinatorial Multi-Agent Multi-Armed Bandits ICML 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Feel-Good Thompson Sampling for Contextual Dueling Bandits ICML 2024 First Passage Percolation with Queried Hints AISTATS 2024 Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AISTATS 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 Fully Unconstrained Online Learning NeurIPS 2024 Generalized Linear Bandits with Limited Adaptivity NeurIPS 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees AAAI 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 Guiding GBFS through Learned Pairwise Rankings IJCAI 2024 Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024 How Does Variance Shape the Regret in Contextual Bandits? NeurIPS 2024 Identifying Copeland Winners in Dueling Bandits with Indifferences AISTATS 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Approximation of Weighted MMS Fairness for Indivisible Chores IJCAI 2024