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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)

Dirty Statistical Models NeurIPS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point CVPR 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013 Distributed Exploration in Multi-Armed Bandits NeurIPS 2013 Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Distributed training of Large-scale Logistic models ICML 2013 Distribution-Dependent Sample Complexity of Large Margin Learning JMLR 2013 Distribution-Free Distribution Regression AISTATS 2013 Distributions of Angles in Random Packing on Spheres JMLR 2013 Distribution to Distribution Regression ICML 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013 Domain Generalization via Invariant Feature Representation ICML 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Dynamical Models and tracking regret in online convex programming ICML 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013