Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler AAAI 2026 A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint) AAAI 2026 A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems JMLR 2026 A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks JMLR 2026 A General Anchor-Based Framework for Scalable Fair Clustering AAAI 2026 Agentic Design Review System AAAI 2026 AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search AAAI 2026 Aggregate-Combine-Readout GNNs Can Express Logical Classifiers Beyond the Logic C2 AAAI 2026 A Knowledge Compilation Map for Quantum Information AAAI 2026 Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem UAI 2026 Aligning Generative Music AI with Human Preferences: Methods and Challenges AAAI 2026 Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning EACL 2026 Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization EACL 2026 Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features JMLR 2026 Almost sure null bankruptcy of testing-by-betting strategies COLT 2026 AMaPO: Adaptive Margin-attached Preference Optimization for Language Model Alignment AAAI 2026 Ambiguous Online Learning COLT 2026 A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization JMLR 2026 A Model-Free Universal AI UAI 2026 A Model of the Language Process ACL 2026 A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median AAAI 2026 A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026 An accelerated proximal bundle method for convex optimization L4DC 2026 An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI 2026 An Anytime Algorithm for Good Arm Identification JMLR 2026