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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)

A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022 A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022 A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 A ConvNet for the 2020s CVPR 2022 Acquisition of allophonic variation in second language speech: An acoustic and articulatory study of English laterals by Japanese speakers Interspeech 2022 A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning AISTATS 2022 Active Bayesian Causal Inference NeurIPS 2022 Active Boundary Loss for Semantic Segmentation AAAI 2022 Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons ACL 2022 ActiveHedge: Hedge meets Active Learning ICML 2022 Active Labeling: Streaming Stochastic Gradients NeurIPS 2022 Active Learning Polynomial Threshold Functions NeurIPS 2022 Active Learning with Neural Networks: Insights from Nonparametric Statistics NeurIPS 2022 Active Learning with Safety Constraints NeurIPS 2022 Active Ranking without Strong Stochastic Transitivity NeurIPS 2022 Actor-critic is implicitly biased towards high entropy optimal policies ICLR 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 ActPerFL: Active Personalized Federated Learning ACL 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning AISTATS 2022 AdaFace: Quality Adaptive Margin for Face Recognition CVPR 2022 AdaFocal: Calibration-aware Adaptive Focal Loss NeurIPS 2022 AdaGrad Avoids Saddle Points ICML 2022 AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method AAAI 2022 Adam Can Converge Without Any Modification On Update Rules NeurIPS 2022