Optimization

Rate-Preserving Reductions for Blackwell Approachability COLT 2025 RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories CVPR 2025 RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025 Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025 ReCap: Better Gaussian Relighting with Cross-Environment Captures CVPR 2025 Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport CVPR 2025 Recovering Labels from Crowdsourced Data: an Optimal and Polynomial-Time Method COLT 2025 Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow ICLR 2025 Rectifying Conformity Scores for Better Conditional Coverage ICML 2025 RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025 Reducing Leximin Fairness to Utilitarian Optimization AAAI 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 2025 RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025 Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025 R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models ICML 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation AISTATS 2025 Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025 Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization EMNLP 2025 Reflection-Window Decoding: Text Generation with Selective Refinement ICML 2025 Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training ACL 2025 REG: Rectified Gradient Guidance for Conditional Diffusion Models ICML 2025 Regularized Neural Ensemblers AutoML 2025 Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025 Regulatory DNA Sequence Design with Reinforcement Learning ICLR 2025 REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective ICML 2025