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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)

Scalable Inference of Overlapping Communities NeurIPS 2012 Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012 Scalable nonconvex inexact proximal splitting NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Smoothing Multivariate Performance Measures JMLR 2012 Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012 Sparse Additive Machine AISTATS 2012 Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Sparsistency of the Edge Lasso over Graphs AISTATS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012 SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012 Stability of Density-Based Clustering JMLR 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Statistical Optimization in High Dimensions AISTATS 2012