Optimization

Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025 Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025 Preventing Network Bottlenecks: Accelerating Datacenter Services with Hotspot-Aware Placement for Compute and Storage NSDI 2025 Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All ICML 2025 Primal-Dual Neural Algorithmic Reasoning ICML 2025 Principled Algorithms for Optimizing Generalized Metrics in Binary Classification ICML 2025 Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025 Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples ICML 2025 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025 Principles and Methodologies for Serial Performance Optimization OSDI 2025 Prioritized Generative Replay ICLR 2025 Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting ICML 2025 Privacy-and-Utility-Aware Publishing of Schedules AAAI 2025 Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation ICML 2025 Private Federated Learning using Preference-Optimized Synthetic Data ICML 2025 Private Lossless Multiple Release ICML 2025 Probabilistic Analysis of Stable Matching in Large Markets with Siblings IJCAI 2025 Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning ICML 2025 Probability-Consistent Preference Optimization for Enhanced LLM Reasoning ACL 2025 Probe-Free Low-Rank Activation Intervention NAACL 2025 Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing ICLR 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Process-based Self-Rewarding Language Models ACL 2025