asymptotic distribution

A Conditional Independence Test in the Presence of Discretization ICLR 2025 A Sample Efficient Conditional Independence Test in the Presence of Discretization ICML 2025 On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization ICML 2025 On the Asymptotic Distribution of the Minimum Empirical Risk ICML 2024 Uncertainty Quantification of MLE for Entity Ranking with Covariates JMLR 2024 Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NeurIPS 2024 Asymptotic confidence sets for random linear programs COLT 2023 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 Goodness-of-Fit Test for Mismatched Self-Exciting Processes AISTATS 2021 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms AISTATS 2020 More Efficient Estimation for Logistic Regression with Optimal Subsamples JMLR 2019 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 Dimension Estimation Using Random Connection Models JMLR 2017 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 Asymptotics in Empirical Risk Minimization JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005