statistical test

Unleashing the Power of Randomization in Auditing Differentially Private ML NeurIPS 2023 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 A Statistical Approach for Optimal Topic Model Identification JMLR 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022 Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022 Robust Graph Structure Learning via Multiple Statistical Tests NeurIPS 2022 Calibration tests beyond classification ICLR 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021 Identity testing for Mallows model NeurIPS 2021 Learning Kernel Tests Without Data Splitting NeurIPS 2020 Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020 Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Private Testing of Distributions via Sample Permutations NeurIPS 2019 Using Statistics to Automate Stochastic Optimization NeurIPS 2019 We Need to Talk about Standard Splits ACL 2019 Algebraic tests of general Gaussian latent tree models NeurIPS 2018 Detecting and Correcting for Label Shift with Black Box Predictors ICML 2018 Differentially Private Uniformly Most Powerful Tests for Binomial Data NeurIPS 2018 Informative Features for Model Comparison NeurIPS 2018 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017 An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017 Are Random Forests Truly the Best Classifiers? JMLR 2016 Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing ICML 2016 Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016