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1219 directly classified papers

Papers per year

Papers

Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NIPS 2019
Joint Nonparametric Precision Matrix Estimation with Confounding UAI 2019
Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019
Testing Mixtures of Discrete Distributions COLT 2019
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes COLT 2019
Learning rates for Gaussian mixtures under group action COLT 2019
Testing Identity of Multidimensional Histograms COLT 2019
How Hard is Robust Mean Estimation? COLT 2019
On Mean Estimation for General Norms with Statistical Queries COLT 2019
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection COLT 2019
Uniform concentration and symmetrization for weak interactions COLT 2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019
Estimating the Mixing Time of Ergodic Markov Chains COLT 2019
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit AISTATS 2019
Data-dependent compression of random features for large-scale kernel approximation AISTATS 2019
The non-parametric bootstrap and spectral analysis in moderate and high-dimension AISTATS 2019
Statistical Optimal Transport via Factored Couplings AISTATS 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019
Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019
A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019
On the Idiosyncrasies of the Mandarin Chinese Classifier System NAACL 2019
Priming vs. Inhibition of Optional Infinitival “to” NAACL 2019