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Learning Theory

5,334 papers

Papers per year

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466
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Papers

The Benefit of Multitask Representation Learning JMLR 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm JMLR 2016
Learning Taxonomy Adaptation in Large-scale Classification JMLR 2016
The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016
Refined Error Bounds for Several Learning Algorithms JMLR 2016
A General Framework for Consistency of Principal Component Analysis JMLR 2016
Learning Theory for Distribution Regression JMLR 2016
The Teaching Dimension of Linear Learners JMLR 2016
Online PCA with Optimal Regret 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
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
Optimal Learning Rates for Localized SVMs JMLR 2016
Machine Learning in an Auction Environment JMLR 2016
Stability and Generalization in Structured Prediction JMLR 2016
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case JMLR 2016
The Effect of Combination Functions on the Complexity of Relational Bayesian Networks PGM 2016
Stochastic Online Greedy Learning with Semi-bandit Feedbacks NIPS 2015
Online Gradient Boosting NIPS 2015
Efficient and Parsimonious Agnostic Active Learning NIPS 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models NIPS 2015
Adaptive Online Learning NIPS 2015
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NIPS 2015
Optimal Testing for Properties of Distributions NIPS 2015