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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)

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013 Random Projections for Support Vector Machines AISTATS 2013 Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013 Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013 Rank Minimization across Appearance and Shape for AAM Ensemble Fitting ICCV 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Real-Time No-Reference Image Quality Assessment Based on Filter Learning CVPR 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Recognize Human Activities from Partially Observed Videos CVPR 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013 Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013 Recovering the Optimal Solution by Dual Random Projection COLT 2013 Rectangling Stereographic Projection for Wide-Angle Image Visualization ICCV 2013 Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NeurIPS 2013 Reflection methods for user-friendly submodular optimization NeurIPS 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Regret Minimization for Branching Experts COLT 2013 Regularization of Neural Networks using DropConnect ICML 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Relative Volume Constraints for Single View 3D Reconstruction CVPR 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013