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Statistical Learning

4,117 papers

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Papers

Structured Estimation with Atomic Norms: General Bounds and Applications NIPS 2015
Sum-of-Squares Lower Bounds for Sparse PCA NIPS 2015
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs NIPS 2015
On the Pseudo-Dimension of Nearly Optimal Auctions NIPS 2015
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension ACML 2015
Consistency of structured output learning with missing labels ACML 2015
Generalized Linear Models for Aggregated Data AISTATS 2015
Implementable confidence sets in high dimensional regression AISTATS 2015
On Anomaly Ranking and Excess-Mass Curves AISTATS 2015
A Bayes consistent 1-NN classifier AISTATS 2015
On Estimating L_2^2 Divergence AISTATS 2015
Toward Minimax Off-policy Value Estimation AISTATS 2015
Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
Variance Reduction via Antithetic Markov Chains AISTATS 2015
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
Stochastic Block Transition Models for Dynamic Networks AISTATS 2015
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs COLT 2015
On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery COLT 2015
On Learning Distributions from their Samples COLT 2015
Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015
Efficient Illuminant Estimation for Color Constancy Using Grey Pixels CVPR 2015