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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)

Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies AAAI 2026 Offline Preference Optimization via Maximum Marginal Likelihood Estimation EACL 2026 Olga Snissarenko at AbjadMed: Arabic Clinical Text Classification with AraBERT: Results from the AbjadMed Shared Task EACL 2026 OMeGa: Joint Optimization of Explicit Meshes and Gaussian Splats for Robust Scene-Level Surface Reconstruction WACV 2026 OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework AAAI 2026 Omniprediction with Long-Term Constraints COLT 2026 OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026 On-Average Stability of Multipass Preconditioned SGD and Effective Dimension COLT 2026 On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability ALT 2026 On Coresets for End-to-end Learning from Crowds AAAI 2026 One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026 On efficient robust regression with subquadratic samples COLT 2026 One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection WACV 2026 Online and Offline Learning of Orderly Hypergraphs Using Queries ALT 2026 Online Bernstein-von Mises theorem JMLR 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications ALT 2026 Online Convex Optimization with Sublinear Noisy Probes COLT 2026 Online Covering with Multiple Experts ALT 2026 Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning EACL 2026 Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation COLT 2026 Online Market Making and the Value of Observing the Order Book COLT 2026 Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026 Online Realizable Regression and Applications for ReLU Networks COLT 2026 Online Robust Planning Under Model Uncertainty: A Sample-Based Approach AAAI 2026