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Online Algorithms

2190 directly classified papers

Papers per year

Papers

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Locally Private and Robust Multi-Armed Bandits NIPS 2024
Stakeholder-oriented Decision Support for Auction-based Federated Learning IJCAI 2024
Metric Clustering and MST with Strong and Weak Distance Oracles COLT 2024
Contextual Linear Optimization with Bandit Feedback NIPS 2024
Mutli-Armed Bandits with Network Interference NIPS 2024
The SMART approach to instance-optimal online learning COLT 2024
Accelerated Regularized Learning in Finite N-Person Games NIPS 2024
The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits COLT 2024
Interpolating Item and User Fairness in Multi-Sided Recommendations NIPS 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees AAAI 2024
Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024
Online Sampling and Decision Making with Low Entropy IJCAI 2024
Online Submodular Maximization via Online Convex Optimization AAAI 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Safe Linear Bandits over Unknown Polytopes COLT 2024
Online Submodular Maximization via Adaptive Thresholds IJCAI 2024
Metric Distortion with Elicited Pairwise Comparisons IJCAI 2024
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024
Communication Bounds for the Distributed Experts Problem NIPS 2024
Evaluation of Project Performance in Participatory Budgeting IJCAI 2024
Learning to Bid in Repeated First-Price Auctions with Budgets ICML 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023
Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023
Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023