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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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Papers (including subtopics)

Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit AAAI 2026 Representation Collapse in Machine Translation Through the Lens of Angular Dispersion EACL 2026 Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage AAAI 2026 ResMAS: Resilience Optimization in LLM-based Multi-agent Systems AAAI 2026 ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract) AAAI 2026 Resolving Predictive Multiplicity for the Rashomon Set AAAI 2026 Re-SpS: A Reinforcement Learning Approach to Speculative Sampling AAAI 2026 Rethinking AI: From Functions to Functors AAAI 2026 Rethinking Crystal Symmetry Prediction: A Decoupled Perspective AAAI 2026 Rethinking Data Mixing from the Perspective of Large Language Models ACL 2026 Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives EACL 2026 Rethinking Dataset Distillation: Hard Truths about Soft Labels CVPR 2026 Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning AAAI 2026 Rethinking Direct Preference Optimization in Diffusion Models AAAI 2026 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026 Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance CVPR 2026 Rethinking Real Image Editing: Unleashing Diverse Editing Operators via Multi-Objective Optimization WACV 2026 Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations AAAI 2026 Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching AAAI 2026 Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026 Reusing Samples in Variance Reduction ALT 2026 Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths EACL 2026 Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond AAAI 2026 Revisiting Generalization Across Difficulty Levels: It’s Not So Easy EACL 2026 Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026