"Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure."

Costa, Luis, Vivek F. Farias, Patricio Foncea, Jingyuan Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, Tianyi Peng, and Dusan Popovic. INFORMS Journal on Applied Analytics Vol. 53, No. 5 (2023): 336-349.

"Nonparametric Approximate Dynamic Programming via the Kernel Method."

Bhat, Nikhil, Vivek F. Farias, Ciamac Moallemi, and Andrew Zheng. Stochastic Systems Vol. 13, No. 3 (2023): 321-342.

"Enhanced Competition at the Nano–Bio Interface Enables Comprehensive Characterization of Protein Corona Dynamics and Deep Coverage of Proteomes."

Farias, Vivek F. et al. Advanced Materials Vol. 34, No. 44 (2022): 2206008.

"Markovian Interference in Experiments."

Vivek F. Farias, Andrew Li, Tianyi Peng, and Andrew Zheng. New Orleans, LA: November 2022.

"Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States."

Farias, Vivek F. et al. Proceedings of the National Academy of Sciences Vol. 119, No. 15 (2022): e211356111.

"​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.