false discovery rate

A unified framework for bandit multiple testing NeurIPS 2021 CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021 False Discovery Rates in Biological Networks AISTATS 2021 Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints JMLR 2021 PAPRIKA: Private Online False Discovery Rate Control ICML 2021 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings EMNLP 2021 Aggregation of Multiple Knockoffs ICML 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 Contextual Online False Discovery Rate Control AISTATS 2020 Deep Direct Likelihood Knockoffs NeurIPS 2020 Online Control of the False Coverage Rate and False Sign Rate ICML 2020 The Complete Lasso Tradeoff Diagram NeurIPS 2020 The Power of Batching in Multiple Hypothesis Testing AISTATS 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 New Perspective on Pool-Based Active Classification and False-Discovery Control NeurIPS 2019 Discovering Conditionally Salient Features with Statistical Guarantees ICML 2019 Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks ICLR 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019 Power analysis of knockoff filters for correlated designs NeurIPS 2019 Understanding Learned Models by Identifying Important Features at the Right Resolution AAAI 2019 Black Box FDR ICML 2018 SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018