Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
- Xu, T., Taeb, A., Küçükyavuz, S., & Shojaie, A. (2025). Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Linear Models. Biometrika. [Link] [Code]
- Ravikumar, V., Xu, T., Al-Holou, W. N., Fattahi, S., & Rao, A. (2023). Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. [Link] [Code]
Preprints
- Xu, T., Küçükyavuz, S., Shojaie, A., & Taeb, A. An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models. Journal of Machine Learning Research (JMLR), Minor Revision. [Link]
Working Papers
- Xu, T., Taeb, A., Küçükyavuz, S., & Shojaie, A. (2025). Asymptotically Optimal Learning of Bayesian Networks under Unknown Interventions from Gaussian Models.
- Xu, T., Fattahi, S., Gómez, A., & Küçükyavuz, S. (2025). Adaptive Linear Cuts for the Convex Hull of Low-Rank Quadratic Programming with Indicators.