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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)

Stochastic Online AUC Maximization NeurIPS 2016 Stochastic Optimization for Large-scale Optimal Transport NeurIPS 2016 Stochastic Optimization for Multiview Representation Learning using Partial Least Squares ICML 2016 Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016 Stochastic Structured Prediction under Bandit Feedback NeurIPS 2016 Stochastic Three-Composite Convex Minimization NeurIPS 2016 Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning ICML 2016 Stochastic Variance Reduction for Nonconvex Optimization ICML 2016 Stochastic Variance Reduction Methods for Saddle-Point Problems NeurIPS 2016 Stochastic Variational Inference for the HDP-HMM AISTATS 2016 Stratified Sampling Meets Machine Learning ICML 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm COLT 2016 String and Membrane Gaussian Processes JMLR 2016 Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures AISTATS 2016 Strongly-Typed Recurrent Neural Networks ICML 2016 StructED: Risk Minimization in Structured Prediction JMLR 2016 Structure-Blind Signal Recovery NeurIPS 2016 Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ICML 2016 Structured Feature Similarity With Explicit Feature Map CVPR 2016 Structure Discovery in Bayesian Networks by Sampling Partial Orders JMLR 2016 Structured Matrix Recovery via the Generalized Dantzig Selector NeurIPS 2016 Structured Prediction Energy Networks ICML 2016 Structured Prediction Theory Based on Factor Graph Complexity NeurIPS 2016 Structured Regression Gradient Boosting CVPR 2016