Load balancing with migration penalties. - Vivek F. Farias; Ciamac C. Moallemi; Balaji Prabhakar (ISIT, 2005)

A universal scheme for learning. - Vivek F. Farias; Ciamac C. Moallemi; Benjamin Van Roy; Tsachy Weissman (ISIT, 2005)

Approximation algorithms for dynamic resource allocation. - Vivek F. Farias; Benjamin Van Roy (Oper. Res. Lett., 2006)

A Smoothed Approximate Linear Program. - Vijay V. Desai; Vivek F. Farias; Ciamac Cyrus Moallemi (NIPS, 2009)

A Data-Driven Approach to Modeling Choice. - Vivek F. Farias; Srikanth Jagabathula; Devavrat Shah (NIPS, 2009)

Stochastic Depletion Problems: Effective Myopic Policies for a Class of Dynamic Optimization Problems. - Carri W. Chan; Vivek F. Farias (Math. Oper. Res., 2009)

A two tiered dynamic oligopoly model. - Bar Ifrach; Vivek F. Farias; Gabriel Y. Weintraub (BQGT, 2010)

Dynamic Pricing with a Prior on Market Response. - Vivek F. Farias; Benjamin Van Roy (Oper. Res., 2010)

Universal reinforcement learning. - Vivek F. Farias; Ciamac Cyrus Moallemi; Benjamin Van Roy; Tsachy Weissman (IEEE Trans. Inf. Theory, 2010)

The Price of Fairness. - Dimitris Bertsimas; Vivek F. Farias; Nikolaos Trichakis (Oper. Res., 2011)

The Irrevocable Multiarmed Bandit Problem. - Vivek F. Farias; Ritesh Madan (Oper. Res., 2011)

Sparse choice models. - Vivek F. Farias; Srikanth Jagabathula; Devavrat Shah (CISS, 2012)

Non-parametric Approximate Dynamic Programming via the Kernel Method. - Nikhil Bhat; Ciamac C. Moallemi; Vivek F. Farias (NIPS, 2012)

Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions. - Carri W. Chan; Vivek F. Farias; Nicholas Bambos; Gabriel J. Escobar (Oper. Res., 2012)

Approximate Dynamic Programming via a Smoothed Linear Program. - Vijay V. Desai; Vivek F. Farias; Ciamac Cyrus Moallemi (Oper. Res., 2012)

On the Efficiency-Fairness Trade-off. - Dimitris Bertsimas; Vivek F. Farias; Nikolaos Trichakis (Manag. Sci., 2012)

Pathwise Optimization for Optimal Stopping Problems. - Vijay V. Desai; Vivek F. Farias; Ciamac Cyrus Moallemi (Manag. Sci., 2012)

Model Predictive Control for Dynamic Resource Allocation. - Dragos Florin Ciocan; Vivek F. Farias (Math. Oper. Res., 2012)

Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation. - Dimitris Bertsimas; Vivek F. Farias; Nikolaos Trichakis (Oper. Res., 2013)

Simple Policies for Dynamic Pricing with Imperfect Forecasts. - Yiwei Chen; Vivek F. Farias (Oper. Res., 2013)

A Nonparametric Approach to Modeling Choice with Limited Data. - Vivek F. Farias; Srikanth Jagabathula; Devavrat Shah (Manag. Sci., 2013)

On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers. - Yiwei Chen; Vivek F. Farias (EC, 2016)

Optimal Recovery of Tensor Slices. - Vivek F. Farias; Andrew A. Li (AISTATS, 2017)

The Impact of Delays on Service Times in the Intensive Care Unit. - Carri W. Chan; Vivek F. Farias; Gabriel J. Escobar (Manag. Sci., 2017)

The Approximability of Assortment Optimization Under Ranking Preferences. - Ali Aouad; Vivek F. Farias; Retsef Levi; Danny Segev (Oper. Res., 2018)

Robust Dynamic Pricing with Strategic Customers. - Yiwei Chen; Vivek F. Farias (Math. Oper. Res., 2018)

Primal-Dual Algorithms for Order Fulfillment at Urban Outfitters, Inc. - John M. Andrews; Vivek F. Farias; Aryan I. Khojandi; Chad M. Yan (INFORMS J. Appl. Anal., 2019)

On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers. - Yiwei Chen; Vivek F. Farias; Nikolaos Trichakis (Manag. Sci., 2019)

Learning Preferences with Side Information. - Vivek F. Farias; Andrew A. Li (Manag. Sci., 2019)

Optimizing Offer Sets in Sub-Linear Time. - Vivek F. Farias; Andrew A. Li; Deeksha Sinha (EC, 2020)

The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. - Jackie Baek; Vivek F. Farias; Andreea Georgescu; Retsef Levi; Tianyi Peng; Deeksha Sinha; Joshua Wilde; Andrew Zheng (CoRR, 2020)

Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (CoRR, 2020)

Near-Optimal A-B Testing. - Nikhil Bhat; Vivek F. Farias; Ciamac C. Moallemi; Deeksha Sinha (Manag. Sci., 2020)

Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (ICML, 2021)

Learning Treatment Effects in Panels with General Intervention Patterns. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (NeurIPS, 2021)

The Limits to Learning a Diffusion Model. - Jackie Baek; Vivek F. Farias; Andreea Georgescu; Retsef Levi; Tianyi Peng; Deeksha Sinha; Joshua Wilde; Andrew Zheng (EC, 2021)

Assortment Optimization Under Consider-Then-Choose Choice Models. - Ali Aouad; Vivek F. Farias; Retsef Levi (Manag. Sci., 2021)

Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (AISTATS, 2022)

Markovian Interference in Experiments. - Vivek F. Farias; Andrew A. Li; Tianyi Peng; Andrew Zheng (NeurIPS, 2022)

Synthetically Controlled Bandits. - Vivek F. Farias; Ciamac Moallemi; Tianyi Peng; Andrew Zheng (CoRR, 2022)

Optimistic Gittins Indices. - Vivek F. Farias; Eli Gutin (Oper. Res., 2022)

TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation. - Jackie Baek; Vivek F. Farias (AISTATS, 2023)

Correcting for Interference in Experiments: A Case Study at Douyin. - Vivek F. Farias; Hao Li; Tianyi Peng; Xinyuyang Ren; Huawei Zhang; Andrew Zheng (RecSys, 2023)

Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure. - Luis Costa; Vivek F. Farias; Patricio Foncea; Jingyuan (Donna) Gan; Ayush Garg; Ivo Rosa Montenegro; Kumarjit Pathak; Tianyi Peng; Dusan Popovic (INFORMS J. Appl. Anal., 2023)

Speeding up Policy Simulation in Supply Chain RL. - Vivek F. Farias; Joren Gijsbrechts; Aryan I. Khojandi; Tianyi Peng; Andrew Zheng (CoRR, 2024)

Fair Exploration via Axiomatic Bargaining. - Jackie Baek; Vivek F. Farias (Manag. Sci., 2024)

Fixing Inventory Inaccuracies at Scale. - Vivek F. Farias; Andrew A. Li; Tianyi Peng (Manuf. Serv. Oper. Manag., 2024)

Self-Normalized Resets for Plasticity in Continual Learning. - Vivek F. Farias; Adam Daniel Jozefiak (ICLR, 2025)

Policy Optimization for Personalized Interventions in Behavioral Health. - Jackie Baek; Justin J. Boutilier; Vivek F. Farias; Jónas Oddur Jónasson; Erez Yoeli (Manuf. Serv. Oper. Manag., 2025)