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Online Algorithms

2,192 papers

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Papers

Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023
Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets AISTATS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits AISTATS 2023
On Universal Portfolios with Continuous Side Information AISTATS 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023
Nonstationary Bandit Learning via Predictive Sampling AISTATS 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023
Online Linearized LASSO AISTATS 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023
On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023
Online Algorithms with Costly Predictions AISTATS 2023
Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits AISTATS 2023
Nonstochastic Contextual Combinatorial Bandits AISTATS 2023
Federated Learning for Data Streams AISTATS 2023
Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023
Active Cost-aware Labeling of Streaming Data AISTATS 2023
Pricing against a Budget and ROI Constrained Buyer AISTATS 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023