About Me

I am a PhD student in machine learning at Machine Learning Center (ML@GT) and School of Mathematics, Georgia Institute of Technology, Atlanta, GA. I am fortunate to be advised by Profs. Negar Kiyavash (now at EPFL) and Mark Davenport.

My research interest mainly lies in causal discovery and causal structure learning: Identifiability and algorithms. In particular:

Causal discovery theories and algorithms based on observations, especially under the presence of unobserved confounding and/or measurement error.
Causal structure learning and causal representation learning with latent variables.
Designing machine learning algorithms with interpretable factors.

Publications

Y. Yang, A. Ghassami, M. Nafea, N. Kiyavash, K. Zhang, and I. Shpitser, "Causal Discovery in Linear Latent Variable Models Subject to Measurement Error", 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA. [arxiv] [poster]

Y. Yang, M. Nafea, A. Ghassami, and N. Kiyavash, “Causal Discovery in Linear Structural Causal Models with Deterministic Relations”, Proceedings of the 1st Conference on Causal Learning and Reasoning (CLeaR 2022), Eureka, USA. [proceedings] [arxiv] [poster]

MATH 1552: Integral Calculus

TA, Fall 2018, Spring 2019, Fall 2021

MATH 1553: Intro to Linear Algebra

TA, Summer 2021

Georgia Tech School of Mathematics
686 Cherry Street NW
Skiles Building, Room 117
Atlanta, GA 30332-0160

Office: Skiles 137

_{Template designed by Hyde. Last update: 2022/12}