"​Learning Treatment Effects with General Intervention Patterns."

Vivek Farias, Andrew Li, and Tianyi Peng. In Proceedings of the 35th Annual Conference on Neural Information Processing Systems, San Diego, CA: December 2021.

"Near-Optimal Entry-wise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise."

Vivek F. Farias, Andrew A. Li, and Tianyi Peng. In Proceedings of the Thirty Eighth International Conference on Machine Learning, edited by Marina Meila and Tong Zhang. Virtual: July 2021. Appendices.

"Assortment Optimization under Consider-then-Choose Choice Models."

Aouad, Ali, Vivek F. Farias, and Retsef Levi. Management Science Vol. 67, No. 6 (2021): 3368-3386. SSRN Preprint.

"Analysis of the Human Plasma Proteome Using Multi‐Nanoparticle Protein Corona for Detection of Alzheimer's Disease."

Corbo, Claudia, Andrew A. Li, Hossein Poustchi, Gha Young Lee, Sabrina Stacks, Roberto Molinaro, Philip Ma, Theo Platt, Shahed Behzadi, Robert Langer, Vivek Farias, and Omid C. Farokhzad. Advanced Healthcare Materials Vol. 10, No. 2 (2021): 2000948.

"​Inferring Sparse Preference Lists From Partial Information."

Farias, Vivek F., Srikanth Jagabathula, and Devavrat Shah. Stochastic Systems Vol. 10, No. 4 (2020): 335-360.

"Near-Optimal A-B Testing."

Bhat, Nikhil, Vivek F. Farias, Ciamac C. Moallemi, and Deeksha Sinha. Management Science Vol. 66, No. 10 (2020): 4477-4495. Download Preprint.