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ORCIDVivek F. Farias
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2020 – today
- 2024
[j25]Vivek F. Farias, Andrew A. Li, Tianyi Peng
:
Fixing Inventory Inaccuracies at Scale. Manuf. Serv. Oper. Manag. 26(3): 1102-1118 (2024)- [i13]Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng:
Speeding up Policy Simulation in Supply Chain RL. CoRR abs/2406.01939 (2024) - 2023
- [j24]Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, Tianyi Peng, Dusan Popovic:
Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure. INFORMS J. Appl. Anal. 53(5): 336-349 (2023) - [c20]Jackie Baek, Vivek F. Farias:
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation. AISTATS 2023: 11132-11148 - [c19]Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng:
Correcting for Interference in Experiments: A Case Study at Douyin. RecSys 2023: 455-466 - [i12]Jackie Baek, Justin J. Boutilier, Vivek F. Farias, Jónas Oddur Jónasson, Erez Yoeli:
Policy Optimization for Personalized Interventions in Behavioral Health. CoRR abs/2303.12206 (2023) - [i11]Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng:
Correcting for Interference in Experiments: A Case Study at Douyin. CoRR abs/2305.02542 (2023) - 2022
- [j23]Vivek F. Farias, Eli Gutin:
Optimistic Gittins Indices. Oper. Res. 70(6): 3432-3456 (2022) - [c18]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise. AISTATS 2022: 1179-1189 - [c17]Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng:
Markovian Interference in Experiments. NeurIPS 2022 - [i10]Vivek F. Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng:
Synthetically Controlled Bandits. CoRR abs/2202.07079 (2022) - [i9]Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng:
Markovian Interference in Experiments. CoRR abs/2206.02371 (2022) - 2021
- [j22]Ali Aouad, Vivek F. Farias, Retsef Levi:
Assortment Optimization Under Consider-Then-Choose Choice Models. Manag. Sci. 67(6): 3368-3386 (2021) - [c16]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise. ICML 2021: 3154-3163 - [c15]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Learning Treatment Effects in Panels with General Intervention Patterns. NeurIPS 2021: 14001-14013 - [c14]Jackie Baek, Vivek F. Farias:
Fair Exploration via Axiomatic Bargaining. NeurIPS 2021: 22034-22045 - [c13]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning a Diffusion Model. EC 2021: 130-131 - [i8]Jackie Baek, Vivek F. Farias:
Fair Exploration via Axiomatic Bargaining. CoRR abs/2106.02553 (2021) - [i7]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Learning Treatment Effects in Panels with General Intervention Patterns. CoRR abs/2106.02780 (2021) - [i6]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise. CoRR abs/2110.12046 (2021) - 2020
- [j21]Nikhil Bhat, Vivek F. Farias, Ciamac C. Moallemi, Deeksha Sinha:
Near-Optimal A-B Testing. Manag. Sci. 66(10): 4477-4495 (2020) - [c12]Vivek F. Farias, Andrew A. Li, Deeksha Sinha:
Optimizing Offer Sets in Sub-Linear Time. EC 2020: 639-640 - [i5]Jackie Baek, Vivek F. Farias:
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation. CoRR abs/2006.06372 (2020) - [i4]Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng:
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. CoRR abs/2006.06373 (2020) - [i3]Vivek F. Farias, Andrew A. Li, Tianyi Peng:
Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection. CoRR abs/2006.13126 (2020) - [i2]Vivek F. Farias, Andrew A. Li, Deeksha Sinha:
Optimizing Offer Sets in Sub-Linear Time. CoRR abs/2011.08606 (2020)
2010 – 2019
- 2019
- [j20]John M. Andrews, Vivek F. Farias, Aryan I. Khojandi, Chad M. Yan:
Primal-Dual Algorithms for Order Fulfillment at Urban Outfitters, Inc. INFORMS J. Appl. Anal. 49(5): 355-370 (2019) - [j19]Vivek F. Farias, Andrew A. Li:
Learning Preferences with Side Information. Manag. Sci. 65(7): 3131-3149 (2019) - [j18]Yiwei Chen, Vivek F. Farias, Nikolaos Trichakis:
On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers. Manag. Sci. 65(12): 5535-5555 (2019) - 2018
- [j17]Ali Aouad, Vivek F. Farias, Retsef Levi, Danny Segev:
The Approximability of Assortment Optimization Under Ranking Preferences. Oper. Res. 66(6): 1661-1669 (2018) - [j16]Yiwei Chen, Vivek F. Farias:
Robust Dynamic Pricing with Strategic Customers. Math. Oper. Res. 43(4): 1119-1142 (2018) - 2017
- [j15]Carri W. Chan, Vivek F. Farias, Gabriel J. Escobar:
The Impact of Delays on Service Times in the Intensive Care Unit. Manag. Sci. 63(7): 2049-2072 (2017) - [c11]Vivek F. Farias, Andrew A. Li:
Optimal Recovery of Tensor Slices. AISTATS 2017: 1394-1402 - 2016
- [c10]Eli Gutin, Vivek F. Farias:
Optimistic Gittins Indices. NIPS 2016: 3153-3161 - [c9]Yiwei Chen, Vivek F. Farias:
On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers. EC 2016: 811 - 2015
- [c8]Yiwei Chen, Vivek F. Farias:
Robust Dynamic Pricing With Strategic Customers. EC 2015: 777 - 2013
- [j14]Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis:
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation. Oper. Res. 61(1): 73-87 (2013) - [j13]Yiwei Chen, Vivek F. Farias:
Simple Policies for Dynamic Pricing with Imperfect Forecasts. Oper. Res. 61(3): 612-624 (2013) - [j12]Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah:
A Nonparametric Approach to Modeling Choice with Limited Data. Manag. Sci. 59(2): 305-322 (2013) - 2012
- [j11]Vijay V. Desai, Vivek F. Farias, Ciamac Cyrus Moallemi:
Approximate Dynamic Programming via a Smoothed Linear Program. Oper. Res. 60(3): 655-674 (2012) - [j10]Carri W. Chan, Vivek F. Farias, Nicholas Bambos, Gabriel J. Escobar:
Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions. Oper. Res. 60(6): 1323-1341 (2012) - [j9]Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis:
On the Efficiency-Fairness Trade-off. Manag. Sci. 58(12): 2234-2250 (2012) - [j8]Vijay V. Desai, Vivek F. Farias, Ciamac Cyrus Moallemi:
Pathwise Optimization for Optimal Stopping Problems. Manag. Sci. 58(12): 2292-2308 (2012) - [j7]Dragos Florin Ciocan, Vivek F. Farias:
Model Predictive Control for Dynamic Resource Allocation. Math. Oper. Res. 37(3): 501-525 (2012) - [c7]Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah:
Sparse choice models. CISS 2012: 1-28 - [c6]Nikhil Bhat, Ciamac C. Moallemi, Vivek F. Farias:
Non-parametric Approximate Dynamic Programming via the Kernel Method. NIPS 2012: 395-403 - 2011
- [j6]Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis:
The Price of Fairness. Oper. Res. 59(1): 17-31 (2011) - [j5]Vivek F. Farias, Ritesh Madan:
The Irrevocable Multiarmed Bandit Problem. Oper. Res. 59(2): 383-399 (2011) - 2010
- [j4]Vivek F. Farias, Benjamin Van Roy:
Dynamic Pricing with a Prior on Market Response. Oper. Res. 58(1): 16-29 (2010) - [j3]Vivek F. Farias, Ciamac Cyrus Moallemi, Benjamin Van Roy, Tsachy Weissman:
Universal reinforcement learning. IEEE Trans. Inf. Theory 56(5): 2441-2454 (2010) - [c5]Bar Ifrach, Vivek F. Farias, Gabriel Y. Weintraub:
A two tiered dynamic oligopoly model. BQGT 2010: 66:1
2000 – 2009
- 2009
- [j2]Carri W. Chan, Vivek F. Farias:
Stochastic Depletion Problems: Effective Myopic Policies for a Class of Dynamic Optimization Problems. Math. Oper. Res. 34(2): 333-350 (2009) - [c4]Vijay V. Desai, Vivek F. Farias, Ciamac Cyrus Moallemi:
A Smoothed Approximate Linear Program. NIPS 2009: 459-467 - [c3]Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah:
A Data-Driven Approach to Modeling Choice. NIPS 2009: 504-512 - 2007
- [i1]Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Weissman, Benjamin Van Roy:
Universal Reinforcement Learning. CoRR abs/0707.3087 (2007) - 2006
- [j1]Vivek F. Farias, Benjamin Van Roy:
Approximation algorithms for dynamic resource allocation. Oper. Res. Lett. 34(2): 180-190 (2006) - 2005
- [c2]Vivek F. Farias, Ciamac C. Moallemi, Balaji Prabhakar:
Load balancing with migration penalties. ISIT 2005: 558-562 - [c1]Vivek F. Farias, Ciamac C. Moallemi, Benjamin Van Roy, Tsachy Weissman:
A universal scheme for learning. ISIT 2005: 1158-1162
Coauthor Index
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last updated on 2024-08-29 21:00 CEST by the dblp team
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