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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)

Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013 Localization and Adaptation in Online Learning AISTATS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Locally-Linear Learning Machines (L3M) ACML 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Loss-Proportional Subsampling for Subsequent ERM ICML 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013 Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem JMLR 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Lp-Norm IDF for Large Scale Image Search CVPR 2013 Machine Learning with Operational Costs JMLR 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 MAD-Bayes: MAP-based Asymptotic Derivations from Bayes ICML 2013 Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures ICML 2013 Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013 Marginals-to-Models Reducibility NeurIPS 2013 Margins, Shrinkage, and Boosting ICML 2013 Markov Network-Based Unified Classifier for Face Identification ICCV 2013 Markov Network Estimation From Multi-attribute Data ICML 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Matrix factorization with binary components NeurIPS 2013 Maximum Variance Correction with Application to A* Search ICML 2013 Maximum Volume Clustering: A New Discriminative Clustering Approach JMLR 2013 Maxout Networks ICML 2013