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Papers
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
COLT 2023
Statistical and Computational Limits for Tensor-on-Tensor Association Detection
COLT 2023
Statistical Insights into HSIC in High Dimensions
NeurIPS 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models
JMLR 2023
The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features
Interspeech 2023
The Test of Tests: A Framework for Differentially Private Hypothesis Testing
ICML 2023
Two-Sample Tests for Inhomogeneous Random Graphs in L_r Norm: Optimality and Asymptotics
AISTATS 2023
Adaptive Gaussian Process Change Point Detection
ICML 2022
Anytime-Valid Inference For Multinomial Count Data
NeurIPS 2022
AutoML Two-Sample Test
NeurIPS 2022
A Witness Two-Sample Test
AISTATS 2022
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
AAAI 2022
Chernoff Sampling for Active Testing and Extension to Active Regression
AISTATS 2022
Feature Importance Explanations for Temporal Black-Box Models
AAAI 2022
Hypothesis Testing for Differentially Private Linear Regression
NeurIPS 2022
Identity Testing of Reversible Markov Chains
AISTATS 2022
Interactive rank testing by betting
CLeaR 2022
Local Differential Privacy for Belief Functions
AAAI 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
JMLR 2022
Online Control of the False Discovery Rate under "Decision Deadlines"
AISTATS 2022
On the Epistemic Limits of Personalized Prediction
NeurIPS 2022
On The Memory Complexity of Uniformity Testing
COLT 2022
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues
ACL 2022
Private High-Dimensional Hypothesis Testing
COLT 2022
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
NeurIPS 2022