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
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'25
Papers
Anytime-Valid A/B Testing of Counting Processes
AISTATS 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables
JMLR 2025
Collaborative likelihood-ratio estimation over graphs
JMLR 2025
Collaborative non-parametric two-sample testing
AISTATS 2025
Composite Goodness-of-fit Tests with Kernels
JMLR 2025
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
AISTATS 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
JMLR 2025
Differentially Private Multivariate Medians
JMLR 2025
Estimation of Large Zipfian Distributions with Sort and Snap
AISTATS 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
JMLR 2025
How Much is Unseen Depends Chiefly on Information About the Seen
ICLR 2025
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection
JMLR 2025
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
AISTATS 2025
Minimax Optimal Two-Sample Testing under Local Differential Privacy
JMLR 2025
Monte Carlo Sampling for Analyzing In-Context Examples
NAACL 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls
JMLR 2025
On the Robustness of Kernel Goodness-of-Fit Tests
JMLR 2025
Optimal estimation of linear non-Gaussian structure equation models
AISTATS 2025
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
ICLR 2025
Proximal Sampler with Adaptive Step Size
AISTATS 2025
Robust Kernel Hypothesis Testing under Data Corruption
AISTATS 2025
Statistical Test for Auto Feature Engineering by Selective Inference
AISTATS 2025
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
AISTATS 2025
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
AISTATS 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models
AISTATS 2025