Statistics
361 papers
Papers per year
2
4
7
6
4
6
8
23
21
18
18
18
7
14
17
16
16
29
34
42
29
22
'10
'15
'20
'25
Papers
Multiplicative local linear hazard estimation and best one-sided cross-validation
JMLR 2019
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams
JMLR 2019
Nonuniformity of P-values Can Occur Early in Diverging Dimensions
JMLR 2019
Shared Subspace Models for Multi-Group Covariance Estimation
JMLR 2019
What Kind of Language Is Hard to Language-Model?
ACL 2019
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models
JMLR 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data
NeurIPS 2018
Differential networking with path weights in Gaussian trees
PGM 2018
Empirical bounds for functions with weak interactions
COLT 2018
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
ICML 2018
Estimation with Incomplete Data: The Linear Case
IJCAI 2018
Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms
COLT 2018
INSPECTRE: Privately Estimating the Unseen
ICML 2018
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
ICML 2018
Local Private Hypothesis Testing: Chi-Square Tests
ICML 2018
On Nesting Monte Carlo Estimators
ICML 2018
Robust Topological Inference: Distance To a Measure and Kernel Distance
JMLR 2018
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
ICML 2018
Statistical Inference on Random Dot Product Graphs: a Survey
JMLR 2018
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions
ICML 2017
Computational Limits of A Distributed Algorithm for Smoothing Spline
JMLR 2017
Differentially Private Chi-squared Test by Unit Circle Mechanism
ICML 2017
Improving ROUGE for Timeline Summarization
EACL 2017
Model-Powered Conditional Independence Test
NeurIPS 2017
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption
ICML 2017