Skip to content
conftrace_

Statistics

361 papers

6
18
16
29
'10
'15
'20
'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