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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)

A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A simple criterion for controlling selection bias AISTATS 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 A Spectral Learning Approach to Range-Only SLAM ICML 2013 A Stability-based Validation Procedure for Differentially Private Machine Learning NeurIPS 2013 A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013 Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013 A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret COLT 2013 A Theory of Multiclass Boosting JMLR 2013 A Theory of Refractive Photo-Light-Path Triangulation CVPR 2013 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 A Video Representation Using Temporal Superpixels CVPR 2013 A Widely Applicable Bayesian Information Criterion JMLR 2013 Bayesian 3D Tracking from Monocular Video ICCV 2013 Bayesian Canonical Correlation Analysis JMLR 2013 Bayesian Depth-from-Defocus with Shading Constraints CVPR 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian Fusion for Multi-Modal Aerial Images RSS 2013 Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013