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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

ReAttention: Training-Free Infinite Context with Finite Attention Scope ICLR 2025 ReCap: Better Gaussian Relighting with Cross-Environment Captures CVPR 2025 Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? IJCNLP 2025 Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon ICLR 2025 Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport CVPR 2025 Recovering Labels from Crowdsourced Data: an Optimal and Polynomial-Time Method COLT 2025 Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow ICLR 2025 Rectifying Conformity Scores for Better Conditional Coverage ICML 2025 Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025 Redefining the task of Bioactivity Prediction ICLR 2025 RedHerring Attack: Testing the Reliability of Attack Detection EMNLP 2025 RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025 Reducing Divergence in Batch Normalization for Domain Adaptation AAAI 2025 Reducing Leximin Fairness to Utilitarian Optimization AAAI 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 2025 RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs ACL 2025 Redundancy Principles for MLLMs Benchmarks ACL 2025 RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025 ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment EMNLP 2025 Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model ICLR 2025 Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition AAAI 2025 R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models ICML 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation AISTATS 2025 Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks ICML 2025