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reinforcement learning (3) active learning (3) regret bound (2) safe reinforcement learning (2) constrained optimization (2) policy optimization (2) online learning (2) diffusion model alignment (1) utility maximization (1) positive-unlabeled learning (1)

Papers

Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework ACL 2026 Reinforcement Learning with Segment Feedback ICML 2025 Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback EMNLP 2025 Test-Time Adaptation with Binary Feedback ICML 2025 Active Batch Sampling for Multi-Label Classification With Binary User Feedback WACV 2024 Aligning Diffusion Models by Optimizing Human Utility NeurIPS 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Continual Learning for Instruction Following from Realtime Feedback NeurIPS 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 On the Theory of Reinforcement Learning with Once-per-Episode Feedback NeurIPS 2021 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning COLING 2020 Designing Optimal Binary Rating Systems AISTATS 2019 Contextual Pricing for Lipschitz Buyers NeurIPS 2018 Private Sequential Learning COLT 2018 The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016