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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)

SAFE: Finding Sparse and Flat Minima to Improve Pruning ICML 2025 Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025 SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes ICML 2025 SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers ICCV 2025 Safety Alignment Should be Made More Than Just a Few Tokens Deep ICLR 2025 Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints AISTATS 2025 Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking ICLR 2025 SAIL: Sample-Centric In-Context Learning for Document Information Extraction AAAI 2025 SAKE: Steering Activations for Knowledge Editing ACL 2025 SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning EMNLP 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions COLT 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025 Sample Complexity of Branch-length Estimation by Maximum Likelihood ICML 2025 Sample Complexity of Correlation Detection in the Gaussian Wigner Model ICML 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025 Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding CLeaR 2025 Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens JMLR 2025 Sample Compression Scheme Reductions ALT 2025 Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses AISTATS 2025 Sample Efficient Demonstration Selection for In-Context Learning ICML 2025 Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements EMNLP 2025 Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses COLT 2025 Sample-Efficient Online Control Policy Learning with Real-Time Recursive Model Updates CoRL 2025