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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation ICLR 2025 Probabilistic Soundness Guarantees in LLM Reasoning Chains EMNLP 2025 Probability-Consistent Preference Optimization for Enhanced LLM Reasoning ACL 2025 Probability Density Geodesics in Image Diffusion Latent Space CVPR 2025 Probe-Free Low-Rank Activation Intervention NAACL 2025 Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing ICLR 2025 Probing Neural Network Generalization using Default Patterns NAACL 2025 Probing Semantic Routing in Large Mixture-of-Expert Models EMNLP 2025 Probing the Latent Hierarchical Structure of Data via Diffusion Models ICLR 2025 Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models ICLR 2025 Process-based Self-Rewarding Language Models ACL 2025 Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025 ProCut: LLM Prompt Compression via Attribution Estimation EMNLP 2025 Progressive Correspondence Regenerator for Robust 3D Registration CVPR 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025 Progressive Focused Transformer for Single Image Super-Resolution CVPR 2025 Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces ICCV 2025 Progress or Regress? Self-Improvement Reversal in Post-training ICLR 2025 ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks CVPR 2025 Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF ICML 2025 ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025