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Online Algorithms

2190 directly classified papers

Papers per year

Papers

Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NIPS 2023
Strategic Apple Tasting NIPS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers IJCAI 2023
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints AAAI 2023
Unconstrained Dynamic Regret via Sparse Coding NIPS 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards NIPS 2023
Improved Algorithms for Maximum Satisfiability and Its Special Cases AAAI 2023
Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract) AAAI 2023
On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits AAAI 2023
A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023
Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost NIPS 2023
Utilitarian Algorithm Configuration NIPS 2023
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm NIPS 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NIPS 2023
Experimental Designs for Heteroskedastic Variance NIPS 2023
Information-guided Planning: An Online Approach for Partially Observable Problems NIPS 2023
Multi-agent Online Scheduling: MMS Allocations for Indivisible Items ICML 2023
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness NIPS 2023
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis NIPS 2023
Pricing against a Budget and ROI Constrained Buyer AISTATS 2023
Learning and Collusion in Multi-unit Auctions NIPS 2023
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023