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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)

Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization ICML 2015 Variable Selection is Hard COLT 2015 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 Variance Reduction via Antithetic Markov Chains AISTATS 2015 Variational Consensus Monte Carlo NeurIPS 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 Variational Inference with Normalizing Flows ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression CVPR 2015 Video Matting via Sparse and Low-Rank Representation ICCV 2015 Video Summarization by Learning Submodular Mixtures of Objectives CVPR 2015 V-Matrix Method of Solving Statistical Inference Problems JMLR 2015 Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015 WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015 Weight Uncertainty in Neural Network ICML 2015 What Makes an Object Memorable? ICCV 2015 When are Kalman-Filter Restless Bandits Indexable? NeurIPS 2015 When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity JMLR 2015 Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints ICCV 2015 100+ Times Faster Weighted Median Filter (WMF) CVPR 2014 A Bayesian Framework for Online Classifier Ensemble ICML 2014 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014