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Statistical Learning

4,117 papers

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Papers

Learning Tree Structures from Noisy Data AISTATS 2019
Sharp Analysis of Learning with Discrete Losses AISTATS 2019
Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019
The non-parametric bootstrap and spectral analysis in moderate and high-dimension AISTATS 2019
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019
Least Squares Estimation of Weakly Convex Functions AISTATS 2019
Kernel Exponential Family Estimation via Doubly Dual Embedding AISTATS 2019
Estimating Network Structure from Incomplete Event Data AISTATS 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Reducing training time by efficient localized kernel regression AISTATS 2019
A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019
Multi-Observation Regression AISTATS 2019
High Dimensional Inference in Partially Linear Models AISTATS 2019
Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019
On Theory for BART AISTATS 2019
A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019
Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019
Robustness Guarantees for Density Clustering AISTATS 2019
Evaluating model calibration in classification AISTATS 2019
An Exponential Efron-Stein Inequality for $L_q$ Stable Learning Rules ALT 2019
A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity ALT 2019
Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators ALT 2019
Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019
Testing Mixtures of Discrete Distributions COLT 2019