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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)

Scrambled Objects for Least-Squares Regression NeurIPS 2010 Self-Paced Learning for Latent Variable Models NeurIPS 2010 Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010 Semi-Supervised Learning with Adversarially Missing Label Information NeurIPS 2010 Sensor Placement for Improved Robotic Navigation RSS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Simple Exponential Family PCA AISTATS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Smoothness, Low Noise and Fast Rates NeurIPS 2010 Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 Sparse Spectrum Gaussian Process Regression JMLR 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Spike timing-dependent plasticity as dynamic filter NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 Stability Bounds for Stationary φ-mixing and β-mixing Processes JMLR 2010 State-Space Inference and Learning with Gaussian Processes AISTATS 2010 Stochastic Complementarity for Local Control of Discontinuous Dynamics RSS 2010 Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010 Stochastic Composite Likelihood JMLR 2010 Structured Sparse Principal Component Analysis AISTATS 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010