statistical inference

Inference for Batched Bandits NeurIPS 2020 Mutual Transfer Learning for Massive Data ICML 2020 Random Intersection Graphs and Missing Data AAAI 2020 Rank Aggregation via Heterogeneous Thurstone Preference Models AAAI 2020 Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020 Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020 The Power of Batching in Multiple Hypothesis Testing AISTATS 2020 A Calibration Metric for Risk Scores with Survival Data MLHC 2019 Distributed Inference for Linear Support Vector Machine JMLR 2019 From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference ICLR 2019 Improving Model Selection by Employing the Test Data ICML 2019 Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 Differentially Private Uniformly Most Powerful Tests for Binomial Data NeurIPS 2018 Fast Threshold Tests for Detecting Discrimination AISTATS 2018 Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator JMLR 2018 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 Reducing Crowdsourcing to Graphon Estimation, Statistically AISTATS 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Online control of the false discovery rate with decaying memory NeurIPS 2017 Rational Distortions of Learners’ Linguistic Input CoNLL 2017 Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NeurIPS 2017 Selective Inference for Sparse High-Order Interaction Models ICML 2017 Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening ICML 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017