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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)

Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection ACL 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling ICLR 2025 Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits IJCAI 2025 Learning from negative feedback, or positive feedback or both ICLR 2025 Learning from Streaming Video with Orthogonal Gradients CVPR 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning from weak labelers as constraints ICLR 2025 Learning Gaussian DAG Models without Condition Number Bounds ICML 2025 Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence AISTATS 2025 Learning general Gaussian mixtures with efficient score matching COLT 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling ICLR 2025 Learning Hierarchical Polynomials of Multiple Nonlinear Features ICLR 2025 Learning High-Degree Parities: The Crucial Role of the Initialization ICLR 2025 Learning High-dimensional Gaussians from Censored Data AISTATS 2025 Learning How Hard to Think: Input-Adaptive Allocation of LM Computation ICLR 2025 Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback ICML 2025 Learning In-context n-grams with Transformers: Sub-n-grams Are Near-Stationary Points ICML 2025 Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span AISTATS 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision ICML 2025 Learning Input Encodings for Kernel-Optimal Implicit Neural Representations ICML 2025 Learning Instance-Specific Parameters of Black-Box Models using Differentiable Surrogates WACV 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit ICCV 2025 Learning Intersections of Two Margin Halfspaces under Factorizable Distributions COLT 2025