hypothesis testing

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias ICML 2024 Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking NeurIPS 2024 New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024 Nonparametric Inference under B-bits Quantization JMLR 2024 On Ranking-based Tests of Independence AISTATS 2024 On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024 Open Problem: Tight Characterization of Instance-Optimal Identity Testing COLT 2024 Optimal Algorithms for Augmented Testing of Discrete Distributions NeurIPS 2024 Optimal Hypothesis Selection in (Almost) Linear Time NeurIPS 2024 Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024 Principle Component Trees and Their Persistent Homology AAAI 2024 Proving membership in LLM pretraining data via data watermarks ACL 2024 Random Subgraph Detection Using Queries JMLR 2024 Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024 Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024 Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024 Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024 Targeted Separation and Convergence with Kernel Discrepancies JMLR 2024 Testing exchangeability by pairwise betting AISTATS 2024 Testing Semantic Importance via Betting NeurIPS 2024 The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024 Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NeurIPS 2024 Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis NeurIPS 2023