hypothesis testing

Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022 Selective Ensembles for Consistent Predictions ICLR 2022 Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022 Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022 Testing Whether a Learning Procedure is Calibrated JMLR 2022 The Weighted Generalised Covariance Measure JMLR 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 Application of kernel hypothesis testing on set-valued data UAI 2021 Detecting Rewards Deterioration in Episodic Reinforcement Learning ICML 2021 Detection of Signal in the Spiked Rectangular Models ICML 2021 Diffusion Source Identification on Networks with Statistical Confidence ICML 2021 Event Outlier Detection in Continuous Time ICML 2021 Hypothesis testing with low-degree polynomials in the Morris class of exponential families COLT 2021 Identity testing for Mallows model NeurIPS 2021 Inference for the Case Probability in High-dimensional Logistic Regression JMLR 2021 On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021 Robust hypothesis testing and distribution estimation in Hellinger distance AISTATS 2021 Sharp Impossibility Results for Hyper-graph Testing NeurIPS 2021 Statistical inference for individual fairness ICLR 2021 Statistical Query Algorithms and Low Degree Tests Are Almost Equivalent COLT 2021 Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021 The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT AAAI 2021 The Sample Complexity of Robust Covariance Testing COLT 2021 Achieving Equalized Odds by Resampling Sensitive Attributes NeurIPS 2020