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Papers
Accurate and Efficient Statistical Testing for Word Semantic Breadth
ACL 2026
Credal Two-Sample Tests of Epistemic Uncertainty
AISTATS 2025
Robust Kernel Hypothesis Testing under Data Corruption
AISTATS 2025
Toward Falsifying Causal Graphs Using a Permutation-Based Test
AAAI 2025
Permutation-Based Hypothesis Testing for Neural Networks
AAAI 2024
A new ranking scheme for modern data and its application to two-sample hypothesis testing
COLT 2023
A Permutation-Free Kernel Independence Test
JMLR 2023
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
AAAI 2023
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
NeurIPS 2023
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance
AAAI 2023
A permutation-free kernel two-sample test
NeurIPS 2022
HSE at LSCDiscovery in Spanish: Clustering and Profiling for Lexical Semantic Change Discovery
ACL 2022
Interactive rank testing by betting
CLeaR 2022
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
AAAI 2022
Scalable and Efficient Hypothesis Testing with Random Forests
JMLR 2022
Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings
EMNLP 2021
Generalized Linear Models for Aggregated Data
AISTATS 2015
Permutation Tests for Studying Classifier Performance
JMLR 2010
Efficient Moments-based Permutation Tests
NeurIPS 2009