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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)

Convex formulations of radius-margin based Support Vector Machines ICML 2013 Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013 Convex Relaxations for Permutation Problems NeurIPS 2013 Convex Tensor Decomposition via Structured Schatten Norm Regularization NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Correct Software Synthesis for Stable Speed-Controlled Robotic Walking RSS 2013 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Correntropy Induced L2 Graph for Robust Subspace Clustering ICCV 2013 Cost-sensitive Multiclass Classification Risk Bounds ICML 2013 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NeurIPS 2013 Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Decomposing Bag of Words Histograms ICCV 2013 Deep Gaussian Processes AISTATS 2013 Deep learning with COTS HPC systems ICML 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Dependent Normalized Random Measures ICML 2013 Designed Measurements for Vector Count Data NeurIPS 2013 Deterministic Fitting of Multiple Structures Using Iterative MaxFS with Inlier Scale Estimation ICCV 2013 Diagonal Orthant Multinomial Probit Models AISTATS 2013 Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013 Differentially Private Learning with Kernels ICML 2013 Dimension-Free Exponentiated Gradient NeurIPS 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013