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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)

(Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Near-Optimal Herding COLT 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Near-optimal sample compression for nearest neighbors NeurIPS 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NeurIPS 2014 New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 New Results for Random Walk Learning JMLR 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Non-convex Robust PCA NeurIPS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014 Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Non-Parametric Bayesian Constrained Local Models CVPR 2014 Nonparametric Bayesian inference on multivariate exponential families NeurIPS 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014