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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)

Generalized Preference Optimization: A Unified Approach to Offline Alignment ICML 2024 Generalized Schrödinger Bridge Matching ICLR 2024 Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes ICML 2024 Generalized Sobolev Transport for Probability Measures on a Graph ICML 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization NeurIPS 2024 General Stability Analysis for Zeroth-Order Optimization Algorithms ICLR 2024 General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024 Generating Benchmarks for Factuality Evaluation of Language Models EACL 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NeurIPS 2024 Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding ACL 2024 Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback AAAI 2024 Generative Active Learning for Long-tailed Instance Segmentation ICML 2024 Generative Adversarial Model-Based Optimization via Source Critic Regularization NeurIPS 2024 Generative Adversarial Ranking Nets JMLR 2024 Generative Conditional Distributions by Neural (Entropic) Optimal Transport ICML 2024 Generative Forests NeurIPS 2024 Generative Hierarchical Materials Search NeurIPS 2024 Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping ICLR 2024 Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs ICLR 2024 Generative Modeling with Phase Stochastic Bridge ICLR 2024 Generative Modelling of Structurally Constrained Graphs NeurIPS 2024 Generative Sliced MMD Flows with Riesz Kernels ICLR 2024