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stat.ML2025
Amortized Conditional Independence Testing
Bao Duong, Nu Hoang, Thin Nguyen
Testing for the conditional independence structure in data is a fundamental and critical task in statistics and machine learning, which finds natural applications in causal discove…
stat.ML2023
Robust Estimation of Causal Heteroscedastic Noise Models
Quang-Duy Tran, Bao Duong, Phuoc Nguyen +1
Distinguishing the cause and effect from bivariate observational data is the foundational problem that finds applications in many scientific disciplines. One solution to this probl…