hypothesis testing

Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020 With Little Power Comes Great Responsibility EMNLP 2020 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits ICML 2019 ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls NeurIPS 2019 A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019 Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019 Conditional Independence Testing using Generative Adversarial Networks NeurIPS 2019 Detection of Planted Solutions for Flat Satisfiability Problems AISTATS 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 High Dimensional Inference in Partially Linear Models AISTATS 2019 Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 (Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs NeurIPS 2019 Nonuniformity of P-values Can Occur Early in Diverging Dimensions JMLR 2019 Nonzero-sum Adversarial Hypothesis Testing Games NeurIPS 2019 On Testing for Biases in Peer Review NeurIPS 2019 Optimal Decision Tree with Noisy Outcomes NeurIPS 2019 Planting trees in graphs, and finding them back COLT 2019 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm ICCV 2019 Revisiting precision recall definition for generative modeling ICML 2019 Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019 Testing Identity of Multidimensional Histograms COLT 2019 Testing Mixtures of Discrete Distributions COLT 2019 Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019