| 2025 | ICLR | Self-Normalized Resets for Plasticity in Continual Learning. | Vivek F. Farias, Adam Daniel Jozefiak |
| 2025 | ICML | Speeding up Policy Simulation in Supply Chain RL. | Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng |
| 2023 | AISTATS | TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation. | Jackie Baek, Vivek F. Farias |
| 2023 | RecSys | Correcting for Interference in Experiments: A Case Study at Douyin. | Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng |
| 2022 | AISTATS | Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. | Vivek F. Farias, Andrew A. Li, Tianyi Peng |
| 2021 | ICML | Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. | Vivek F. Farias, Andrew A. Li, Tianyi Peng |
| 2017 | AISTATS | Optimal Recovery of Tensor Slices. | Vivek F. Farias, Andrew A. Li |
| 2012 | CISS | Sparse choice models. | Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah |
| 2005 | ISIT | Load balancing with migration penalties. | Vivek F. Farias, Ciamac C. Moallemi, Balaji Prabhakar |
| 2005 | ISIT | A universal scheme for learning. | Vivek F. Farias, Ciamac C. Moallemi, Benjamin Van Roy, Tsachy Weissman |