Wang, Y. Samuel

5 publications

UAI 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles Mathias Drton, Marina Garrote-López, Niko Nikov, Elina Robeva, Y. Samuel Wang

JMLR 2023 Causal Discovery with Unobserved Confounding and Non-Gaussian Data Y. Samuel Wang, Mathias Drton

JMLR 2022 FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting Boxin Zhao, Y. Samuel Wang, Mladen Kolar

ICML 2021 Robust Inference for High-Dimensional Linear Models via Residual Randomization Y. Samuel Wang, Si Kai Lee, Panos Toulis, Mladen Kolar

NeurIPS 2019 Direct Estimation of Differential Functional Graphical Models Boxin Zhao, Y. Samuel Wang, Mladen Kolar