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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)

Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Directed Regression NeurIPS 2009 Discrete MDL Predicts in Total Variation NeurIPS 2009 Distributed Algorithms for Topic Models JMLR 2009 Distribution-Calibrated Hierarchical Classification NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 DUOL: A Double Updating Approach for Online Learning NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Efficient Moments-based Permutation Tests NeurIPS 2009 Efficient Online and Batch Learning Using Forward Backward Splitting JMLR 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks JMLR 2009 Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NeurIPS 2009 Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Fast Learning from Non-i.i.d. Observations NeurIPS 2009 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009