statistical testing

Grounding Representation Similarity Through Statistical Testing NeurIPS 2021 Identity testing for Mallows model NeurIPS 2021 Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021 Private and Non-private Uniformity Testing for Ranking Data NeurIPS 2021 Testing Group Fairness via Optimal Transport Projections ICML 2021 Testing Probabilistic Circuits NeurIPS 2021 Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020 Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020 Optimality, Accuracy, and Efficiency of an Exact Functional Test IJCAI 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Conditional Independence Testing using Generative Adversarial Networks NeurIPS 2019 Deep Dominance - How to Properly Compare Deep Neural Models ACL 2019 On Testing for Biases in Peer Review NeurIPS 2019 Private Testing of Distributions via Sample Permutations NeurIPS 2019 The Odds are Odd: A Statistical Test for Detecting Adversarial Examples ICML 2019 Algebraic tests of general Gaussian latent tree models NeurIPS 2018 Characteristic and Universal Tensor Product Kernels JMLR 2018 Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information AISTATS 2018 Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017