conftrace_

delayed feedback

54 papers

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Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) online learning (1777) online algorithm (445) adversarial learning (1595) conversion rate prediction (9) markov decision process (790) linear bandit (124) reinforcement learning (4352) stochastic optimization (1060)

Papers

Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026
Delayed Feedback Modeling with Influence Functions AAAI 2026
Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback AAAI 2026
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting AAAI 2025
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025
Smoothed Online Convex Optimization with Delayed Feedback IJCAI 2025
Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays NIPS 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Online Learning of Delayed Choices NIPS 2024
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
Delayed Feedback in Kernel Bandits ICML 2023
Delayed Bandits: When Do Intermediate Observations Help? ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NIPS 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NIPS 2023
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NIPS 2023
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs COLT 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation NIPS 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023
Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments NIPS 2023
Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022