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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)

OpenHuEval: Evaluating Large Language Model on Hungarian Specifics ACL 2025 OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees ICLR 2025 OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025 Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025 OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning ICML 2025 Operator Deep Smoothing for Implied Volatility ICLR 2025 OPTAMI: Global Superlinear Convergence of High-order Methods ICLR 2025 OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation CVPR 2025 Optimal Algorithm for Max-Min Fair Bandit ICML 2025 Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025 Optimal and Efficient Binary Questioning for Accelerated Annotation AAAI 2025 Optimal and learned algorithms for the online list update problem with Zipfian accesses ALT 2025 Optimal and Practical Batched Linear Bandit Algorithm ICML 2025 Optimal Auction Design in the Joint Advertising ICML 2025 Optimal Brain Apoptosis ICLR 2025 Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound AAAI 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025 Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025 Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025 Optimal Decision Tree Pruning Revisited: Algorithms and Complexity ICML 2025 Optimal Differentially Private Sampling of Unbounded Gaussians COLT 2025 Optimal downsampling for Imbalanced Classification with Generalized Linear Models AISTATS 2025 Optimal Fair Learning Robust to Adversarial Distribution Shift ICML 2025 Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction ICLR 2025 Optimal Information Retention for Time-Series Explanations ICML 2025