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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)

Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016 Electronic Health Record Analysis via Deep Poisson Factor Models JMLR 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 End-to-End Training of Deep Visuomotor Policies JMLR 2016 Energetic Natural Gradient Descent ICML 2016 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016 Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features Interspeech 2016 Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016 Epigraph projections for fast general convex programming ICML 2016 Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis CVPR 2016 ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Error Analysis of Generalized Nyström Kernel Regression NeurIPS 2016 Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Cosmological Parameters from the Dark Matter Distribution ICML 2016 Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm JMLR 2016 Estimating Maximum Expected Value through Gaussian Approximation ICML 2016 Estimating Mutual Information in Under-Reported Variables PGM 2016 Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NeurIPS 2016 Estimating Structured Vector Autoregressive Models ICML 2016 Estimation from Indirect Supervision with Linear Moments ICML 2016 Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence JMLR 2016 Estimation of Children’s Physical Characteristics from Their Voices Interspeech 2016 Evaluation of Singing Synthesis: Methodology and Case Study with Concatenative and Performative Systems Interspeech 2016 Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016