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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)

Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025 Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025 Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization EMNLP 2025 Refining the Sample Complexity of Comparative Learning ALT 2025 Reflection-Window Decoding: Text Generation with Selective Refinement ICML 2025 Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs ICLR 2025 Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training ACL 2025 REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction EMNLP 2025 ReGLA: Refining Gated Linear Attention NAACL 2025 REG: Rectified Gradient Guidance for Conditional Diffusion Models ICML 2025 Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control AAAI 2025 Regret-Free Reinforcement Learning for Temporal Logic Specifications ICML 2025 Regretful Decisions under Label Noise ICLR 2025 Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds ICLR 2025 Regularity in Canonicalized Models: A Theoretical Perspective AISTATS 2025 Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment NAACL 2025 Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis COLT 2025 Regularized Neural Ensemblers AutoML 2025 Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025 Regularizing Energy among Training Samples for Out-of-Distribution Generalization ICLR 2025 Regular-pattern-sensitive CRFs for Distant Label Interactions ACL 2025 Regulatory DNA Sequence Design with Reinforcement Learning ICLR 2025 ReIFE: Re-evaluating Instruction-Following Evaluation NAACL 2025 REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective ICML 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025