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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)

Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Simultaneous Compliance and Registration Estimation for Robotic Surgery RSS 2014 Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 Single Image Layer Separation using Relative Smoothness CVPR 2014 Skip Context Tree Switching ICML 2014 Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014 Sparse Factor Analysis for Learning and Content Analytics JMLR 2014 Sparse meta-Gaussian information bottleneck ICML 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Sparsity and the Truncated l^2-norm AISTATS 2014 Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions CVPR 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014 Spectral Methods for Supervised Topic Models NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Spectral Regularization for Max-Margin Sequence Tagging ICML 2014 Speeding Up Tracking by Ignoring Features CVPR 2014