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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)

Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation CVPR 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Memory Limited, Streaming PCA NeurIPS 2013 Message-Passing Algorithms for Quadratic Minimization JMLR 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Message passing with l1 penalized KL minimization ICML 2013 MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013 Mini-Batch Primal and Dual Methods for SVMs ICML 2013 Minimal Basis Facility Location for Subspace Segmentation ICCV 2013 Minimax Optimal Algorithms for Unconstrained Linear Optimization NeurIPS 2013 Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NeurIPS 2013 Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013 Mixed Optimization for Smooth Functions NeurIPS 2013 Modeling Information Propagation with Survival Theory ICML 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Moment-based Uniform Deviation Bounds for k-means and Friends NeurIPS 2013 Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity CVPR 2013 More data speeds up training time in learning halfspaces over sparse vectors NeurIPS 2013 More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Multi-agent Event Detection: Localization and Role Assignment CVPR 2013 Multi-attribute Queries: To Merge or Not to Merge? CVPR 2013 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior CVPR 2013 Multiple-source cross-validation ICML 2013