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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 Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021 A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching AAAI 2021 Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021 A first-order primal-dual method with adaptivity to local smoothness NeurIPS 2021 A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021 A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 A Gang of Adversarial Bandits NeurIPS 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 AgeFlow: Conditional Age Progression and Regression with Normalizing Flows IJCAI 2021 A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021 A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021 A Generalized Loss Function for Crowd Counting and Localization CVPR 2021 A General Setting for Gradual Semantics Dealing with Similarity AAAI 2021 A Generative Framework for Simultaneous Machine Translation EMNLP 2021 A Generative Model for Duration-Dependent Score Calibration Interspeech 2021 A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction MLHC 2021 AGENT: A Benchmark for Core Psychological Reasoning ICML 2021 A Geometric Analysis of Deep Generative Image Models and Its Applications ICLR 2021 A Geometric Analysis of Neural Collapse with Unconstrained Features NeurIPS 2021 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NeurIPS 2021 Aggregated Hold-Out JMLR 2021 Aggregating Incomplete and Noisy Rankings AISTATS 2021 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021 Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021