Optimization

A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling IJCAI 2025 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset ICCV 2025 Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models ICLR 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Systematic Survey of Automatic Prompt Optimization Techniques EMNLP 2025 ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning ICML 2025 A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization IJCAI 2025 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems ICLR 2025 ATLANTIS: Weak-to-Strong Learning via Importance Sampling ACL 2025 Atomic Consistency Preference Optimization for Long-Form Question Answering IJCNLP 2025 ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks CVPR 2025 A Truncated Newton Method for Optimal Transport ICLR 2025 Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025 Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract) AAAI 2025 A Unified Approach to Routing and Cascading for LLMs ICML 2025 A Unified Model of Direct and Indirect Reciprocity in Multichannel Games AAAI 2025 A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation ICML 2025 AutoAL: Automated Active Learning with Differentiable Query Strategy Search ICML 2025 AutoCATE: End-to-End, Automated Treatment Effect Estimation ICML 2025 AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training NSDI 2025 AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents EMNLP 2025 AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models EMNLP 2025 Autoformulation of Mathematical Optimization Models Using LLMs ICML 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025