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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)

Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow CVPR 2013 Multi-target Tracking by Rank-1 Tensor Approximation CVPR 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 Multivariate Convex Regression with Adaptive Partitioning JMLR 2013 Multi-view 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras ICCV 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013 Near-Optimal Bounds for Cross-Validation via Loss Stability ICML 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013 Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors ICCV 2013 Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013 New Graph Structured Sparsity Model for Multi-label Image Annotations ICCV 2013 New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013 No more pesky learning rates ICML 2013 Non-convex P-Norm Projection for Robust Sparsity ICCV 2013 Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques CVPR 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Nonparametric Sparsity and Regularization JMLR 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013