Optimization

Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees ICML 2025 Approximating Metric Magnitude of Point Sets AAAI 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control RSS 2025 APT: Adaptive Personalized Training for Diffusion Models with Limited Data CVPR 2025 ARB-LLM: Alternating Refined Binarizations for Large Language Models ICLR 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025 A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward ICML 2025 A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents ICML 2025 Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching ACL 2025 ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search ACL 2025 Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster ICML 2025 AROMA: Autonomous Rank-one Matrix Adaptation EMNLP 2025 ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025 ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior ICML 2025 ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning ACL 2025 Associative memory and dead neurons ICLR 2025 A statistical perspective on algorithm unrolling models for inverse problems JMLR 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 A Stochastic Approach to the Subset Selection Problem via Mirror Descent ICLR 2025 A Study on Leveraging Search and Self-Feedback for Agent Reasoning ACL 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025