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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)

Learning Functions of Halfspaces Using Prefix Covers COLT 2012 Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012 Learning Manifolds with K-Means and K-Flats NeurIPS 2012 Learning Mixtures of Tree Graphical Models NeurIPS 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Learning Valuation Functions COLT 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Lifted Linear Programming AISTATS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Low rank continuous-space graphical models AISTATS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 Marginal Regression For Multitask Learning AISTATS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Max-Margin Min-Entropy Models AISTATS 2012