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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016
New Perspectives on k-Support and Cluster Norms JMLR 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016
Optimal Estimation and Completion of Matrices with Biclustering Structures JMLR 2016
The Teaching Dimension of Linear Learners JMLR 2016
Augmentable Gamma Belief Networks JMLR 2016
Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016
Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach JMLR 2016
Feature-Level Domain Adaptation JMLR 2016
Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues JMLR 2016
Online PCA with Optimal Regret JMLR 2016
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016
A Note on the Sample Complexity of the Er-SpUD Algorithm by Spielman, Wang and Wright for Exact Recovery of Sparsely Used Dictionaries JMLR 2016
The Asymptotic Performance of Linear Echo State Neural Networks JMLR 2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching JMLR 2016
Consistency of Cheeger and Ratio Graph Cuts JMLR 2016
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle JMLR 2016
Electronic Health Record Analysis via Deep Poisson Factor Models JMLR 2016
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016
A New Algorithm and Theory for Penalized Regression-based Clustering JMLR 2016
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016
One-class classification of point patterns of extremes JMLR 2016