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Statistical Learning

4076 directly classified papers

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Papers

(Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014
Consistency of weighted majority votes NIPS 2014
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014
Efficiency of conformalized ridge regression COLT 2014
Elicitation and Identification of Properties COLT 2014
From Stochastic Mixability to Fast Rates NIPS 2014
Learning Graphs with a Few Hubs ICML 2014
Learning with Fredholm Kernels NIPS 2014
Concentration in unbounded metric spaces and algorithmic stability ICML 2014
Heavy-tailed regression with a generalized median-of-means ICML 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Multivariate f-divergence Estimation With Confidence NIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits NIPS 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NIPS 2014
A Wild Bootstrap for Degenerate Kernel Tests NIPS 2014
A Statistical Decision-Theoretic Framework for Social Choice NIPS 2014
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014
Elementary Estimators for Graphical Models NIPS 2014
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014
Alternating Minimization for Mixed Linear Regression ICML 2014
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification ICML 2014
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014