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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)

Radiance Field-Based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions WACV 2025 Radical Allomorphy: Phonological Surface Forms without Phonology EMNLP 2025 Radio: Rate–Distortion Optimization for Large Language Model Compression ICML 2025 RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models CVPR 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025 RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025 RAGGED: Towards Informed Design of Scalable and Stable RAG Systems ICML 2025 RAIDEN Benchmark: Evaluating Role-playing Conversational Agents with Measurement-Driven Custom Dialogues COLING 2025 RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization ICLR 2025 RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025 Rajomon: Decentralized and Coordinated Overload Control for Latency-Sensitive Microservices NSDI 2025 RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping RSS 2025 RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025 Random Feature Representation Boosting ICML 2025 Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests JMLR 2025 Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures ICML 2025 Randomized Smoothing Meets Vision-Language Models EMNLP 2025 Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025 Random ReLU Neural Networks as Non-Gaussian Processes JMLR 2025 Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance ACL 2025 Range, not Independence, Drives Modularity in Biologically Inspired Representations ICLR 2025 RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task EMNLP 2025 Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity ICML 2025 Rank-One Modified Value Iteration ICML 2025 RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank ICLR 2025