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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)

Maximum Margin Partial Label Learning ACML 2015 Maximum-Margin Structured Learning With Deep Networks for 3D Human Pose Estimation ICCV 2015 Maximum Persistency via Iterative Relaxed Inference With Graphical Models CVPR 2015 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015 M-Best-Diverse Labelings for Submodular Energies and Beyond NeurIPS 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 MCMC Learning COLT 2015 Measuring Sample Quality with Stein's Method NeurIPS 2015 Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering CVPR 2015 Message Passing for Collective Graphical Models ICML 2015 Minimax Analysis of Active Learning JMLR 2015 Minimax Fixed-Design Linear Regression COLT 2015 Minimax rates for memory-bounded sparse linear regression COLT 2015 Minimax Time Series Prediction NeurIPS 2015 Minimizing Nonconvex Non-Separable Functions AISTATS 2015 Minimum Weight Perfect Matching via Blossom Belief Propagation NeurIPS 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015 Model-Based Relative Entropy Stochastic Search NeurIPS 2015 Model Selection for Topic Models via Spectral Decomposition AISTATS 2015 Monotone k-Submodular Function Maximization with Size Constraints NeurIPS 2015 M-Statistic for Kernel Change-Point Detection NeurIPS 2015 Multiclass Learnability and the ERM Principle JMLR 2015 Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NeurIPS 2015 Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection ICCV 2015