Optimization

S*: Test Time Scaling for Code Generation EMNLP 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning UAI 2025 Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees AISTATS 2025 Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence ICML 2025 Stochastic Gradient Estimation for Higher-Order Differentiable Rendering ICCV 2025 Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025 Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training ICML 2025 Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance ICLR 2025 Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation ICLR 2025 Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints ICML 2025 Stop Jostling: Adaptive Negative Sampling Reduces the Marginalization of Low-Resource Language Tokens by Cross-Entropy Loss COLING 2025 StreamDiffusion: A Pipeline-level Solution for Real-Time Interactive Generation ICCV 2025 Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025 STREAQ: Selective Tiered Routing for Effective and Affordable Contact Center Quality Assurance EMNLP 2025 Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget CVPR 2025 Stronger Universal and Transferable Attacks by Suppressing Refusals NAACL 2025 Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation AAAI 2025 Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025 Structure-Conditional Minimum Bayes Risk Decoding EMNLP 2025 Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue ICCV 2025 Structured Preconditioners in Adaptive Optimization: A Unified Analysis ICML 2025 Structured Preference Optimization for Vision-Language Long-Horizon Task Planning EMNLP 2025 Structure-informed Risk Minimization for Robust Ensemble Learning ICML 2025 Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025 Style Transfer with Multi-iteration Preference Optimization NAACL 2025