"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.

"Fair Exploration via Axiomatic Bargaining."

Jackie Baek, and Vivek F. Farias. In Proceedings of the 35th Annual Conference on Neural Information Processing Systems, San Diego, CA: December 2021.

"​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.

"The Limits to Learning a Diffusion Model."

Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, and Andrew Zheng. In Proceedings of the 22nd ACM conference on Economics and Computation (EC), Budapest, Hungary: July 2021. arXiv Preprint.