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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)

On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NeurIPS 2016 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016 Online and Differentially-Private Tensor Decomposition NeurIPS 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016 Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees AISTATS 2016 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NeurIPS 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 Online Convex Optimization with Unconstrained Domains and Losses NeurIPS 2016 Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes NeurIPS 2016 Online Isotonic Regression COLT 2016 Online Learning and Blackwell Approachability in Quitting Games COLT 2016 Online learning in repeated auctions COLT 2016 Online Learning with Feedback Graphs Without the Graphs ICML 2016 Online Learning with Low Rank Experts COLT 2016 Online Learning with Noisy Side Observations AISTATS 2016 Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016 Online PCA with Optimal Regret JMLR 2016 Online Pricing with Strategic and Patient Buyers NeurIPS 2016 Online Sparse Linear Regression COLT 2016 Online Stochastic Linear Optimization under One-bit Feedback ICML 2016 Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016 On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016 Only H is left: Near-tight Episodic PAC RL NeurIPS 2016 On Mixtures of Markov Chains NeurIPS 2016 On Regularizing Rademacher Observation Losses NeurIPS 2016