On the Crossing Spanning Tree Problem. - Vittorio Bilò; Vineet Goyal; R. Ravi 001; Mohit Singh (APPROX-RANDOM, 2004)

How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems. - Kedar Dhamdhere; Vineet Goyal; R. Ravi 001; Mohit Singh (FOCS, 2005)

Pay Today for a Rainy Day: Improved Approximation Algorithms for Demand-Robust Min-Cut and Shortest Path Problems. - Daniel Golovin; Vineet Goyal; R. Ravi 001 (STACS, 2006)

Pricing Tree Access Networks with Connected Backbones. - Vineet Goyal; Anupam Gupta 001; Stefano Leonardi 001; R. Ravi 001 (ESA, 2007)

A plant location guide for the unsure. - Barbara M. Anthony; Vineet Goyal; Anupam Gupta 001; Viswanath Nagarajan (SODA, 2008)

A Plant Location Guide for the Unsure: Approximation Algorithms for Min-Max Location Problems. - Barbara M. Anthony; Vineet Goyal; Anupam Gupta 001; Viswanath Nagarajan (Math. Oper. Res., 2010)

On the Power of Robust Solutions in Two-Stage Stochastic and Adaptive Optimization Problems. - Dimitris Bertsimas; Vineet Goyal (Math. Oper. Res., 2010)

MIP reformulations of the probabilistic set covering problem. - Anureet Saxena; Vineet Goyal; Miguel A. Lejeune (Math. Program., 2010)

A PTAS for the chance-constrained knapsack problem with random item sizes. - Vineet Goyal; R. Ravi 001 (Oper. Res. Lett., 2010)

A Geometric Characterization of the Power of Finite Adaptability in Multistage Stochastic and Adaptive Optimization. - Dimitris Bertsimas; Vineet Goyal; Xu Andy Sun (Math. Oper. Res., 2011)

An FPTAS for minimizing the product of two non-negative linear cost functions. - Vineet Goyal; Latife Genç Kaya; R. Ravi 001 (Math. Program., 2011)

On the power and limitations of affine policies in two-stage adaptive optimization. - Dimitris Bertsimas; Vineet Goyal (Math. Program., 2012)

On simulating a class of Bernstein polynomials. - Vineet Goyal; Karl Sigman (ACM Trans. Model. Comput. Simul., 2012)

Near-optimal execution policies for demand-response contracts in electricity markets. - Vineet Goyal; Garud Iyengar; Zhen Qiu (CDC, 2013)

On the approximability of adjustable robust convex optimization under uncertainty. - Dimitris Bertsimas; Vineet Goyal (Math. Methods Oper. Res., 2013)

An FPTAS for minimizing a class of low-rank quasi-concave functions over a convex set. - Vineet Goyal; R. Ravi 001 (Oper. Res. Lett., 2013)

Optimal price rebates for demand response under power flow constraints. - Vineet Goyal; Garud Iyengar; Quique Schwarz; Shuangyu Wang (SmartGridComm, 2014)

A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization. - Dimitris Bertsimas; Vineet Goyal; Brian Y. Lu (Math. Program., 2015)

Improved approximations for two-stage min-cut and shortest path problems under uncertainty. - Daniel Golovin; Vineet Goyal; Valentin Polishchuk; R. Ravi 001; Mikko Sysikaski (Math. Program., 2015)

Assortment Optimization Under the Mallows model. - Antoine Désir; Vineet Goyal; Srikanth Jagabathula; Danny Segev (NIPS, 2016)

A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (EC, 2016)

Assortment Optimization under a Random Swap based Distribution over Permutations Model. - Antoine Désir; Vineet Goyal; Danny Segev (EC, 2016)

A Markov Chain Approximation to Choice Modeling. - Jose H. Blanchet; Guillermo Gallego 001; Vineet Goyal (Oper. Res., 2016)

Sparse Process Flexibility Designs: Is the Long Chain Really Optimal? - Antoine Désir; Vineet Goyal; Yehua Wei; Jiawei Zhang 006 (Oper. Res., 2016)

Near-Optimal Algorithms for the Assortment Planning Problem Under Dynamic Substitution and Stochastic Demand. - Vineet Goyal; Retsef Levi; Danny Segev (Oper. Res., 2016)

On the tightness of an LP relaxation for rational optimization and its applications. - Vashist Avadhanula; Jalaj Bhandari; Vineet Goyal; Assaf Zeevi (Oper. Res. Lett., 2016)

Thompson Sampling for the MNL-Bandit. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (COLT, 2017)

Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization. - Omar El Housni; Vineet Goyal (NIPS, 2017)

Piecewise static policies for two-stage adjustable robust linear optimization. - Omar El Housni; Vineet Goyal (Math. Program., 2018)

A Generalized Markov Chain Model to Capture Dynamic Preferences and Choice Overload. - Kumar Goutam; Vineet Goyal; Agathe Soret (CoRR, 2019)

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (Oper. Res., 2019)

On the adaptivity gap in two-stage robust linear optimization under uncertain packing constraints. - Pranjal Awasthi; Vineet Goyal; Brian Y. Lu (Math. Program., 2019)

Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio. - Vineet Goyal; Garud Iyengar; Rajan Udwani (CoRR, 2020)

Robust Policies For Proactive ICU Transfers. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Gabriel J. Escobar (CoRR, 2020)

Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations. - Vineet Goyal; Garud Iyengar; Rajan Udwani (CoRR, 2020)

Constrained Assortment Optimization Under the Markov Chain-based Choice Model. - Antoine Désir; Vineet Goyal; Danny Segev; Chun Ye (Manag. Sci., 2020)

A tractable approach for designing piecewise affine policies in two-stage adjustable robust optimization. - Aharon Ben-Tal; Omar El Housni; Vineet Goyal (Math. Program., 2020)

Matching Drivers to Riders: A Two-Stage Robust Approach. - Omar El Housni; Vineet Goyal; Oussama Hanguir; Clifford Stein 001 (APPROX-RANDOM, 2021)

On the Power of Static Assignment Policies for Robust Facility Location Problems. - Omar El Housni; Vineet Goyal; David B. Shmoys (IPCO, 2021)

MNL-Bandit with Knapsacks. - Abdellah Aznag; Vineet Goyal; Noémie Périvier (EC, 2021)

Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Elizabeth Chuang (CoRR, 2021)

Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice. - Antoine Désir; Vineet Goyal; Srikanth Jagabathula; Danny Segev (Oper. Res., 2021)

On the Optimality of Affine Policies for Budgeted Uncertainty Sets. - Omar El Housni; Vineet Goyal (Math. Oper. Res., 2021)

Dynamic pricing and assortment under a contextual MNL demand. - Noémie Périvier; Vineet Goyal (NeurIPS, 2022)

Revenue Management with Product Retirement and Customer Selection. - Adam N. Elmachtoub; Vineet Goyal; Roger Lederman; Harsh Sheth (WINE, 2022)

Technical Note - Capacitated Assortment Optimization: Hardness and Approximation. - Antoine Désir; Vineet Goyal; Jiawei Zhang 006 (Oper. Res., 2022)

Online Assortment Optimization with Reusable Resources. - Xiao-Yue Gong; Vineet Goyal; Garud N. Iyengar; David Simchi-Levi; Rajan Udwani; Shuangyu Wang (Manag. Sci., 2022)

Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. - Raghav Singal; Omar Besbes; Antoine Désir; Vineet Goyal; Garud Iyengar (Manag. Sci., 2022)

Last Switch Dependent Bandits with Monotone Payoff Functions. - Ayoub Foussoul; Vineet Goyal; Orestis Papadigenopoulos; Assaf Zeevi (ICML, 2023)

MNL-Bandit in non-stationary environments. - Ayoub Foussoul; Vineet Goyal; Varun Gupta (CoRR, 2023)

MNL-Prophet: Sequential Assortment Selection under Uncertainty. - Vineet Goyal; Salal Humair; Orestis Papadigenopoulos; Assaf Zeevi (CoRR, 2023)

Robustness of Proactive Intensive Care Unit Transfer Policies. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Gabriel J. Escobar (Oper. Res., 2023)

Robust Markov Decision Processes: Beyond Rectangularity. - Vineet Goyal; Julien Grand-Clément (Math. Oper. Res., 2023)

A First-Order Approach to Accelerated Value Iteration. - Vineet Goyal; Julien Grand-Clément (Oper. Res., 2023)

Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation. - Vineet Goyal; Rajan Udwani (Oper. Res., 2023)

Fully-Dynamic Load Balancing. - Ayoub Foussoul; Vineet Goyal; Amit Kumar (IPCO, 2024)

Robust Assortment Optimization Under the Markov Chain Choice Model. - Antoine Désir; Vineet Goyal; Bo Jiang 007; Tian Xie 008; Jiawei Zhang 006 (Oper. Res., 2024)

Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply. - Omar Besbes; Vineet Goyal; Garud Iyengar; Raghav Singal (Manuf. Serv. Oper. Manag., 2024)

LP-based approximations for disjoint bilinear and two-stage adjustable robust optimization. - Omar El Housni; Ayoub Foussoul; Vineet Goyal (Math. Program., 2024)

Distributionally Robust Newsvendor on a Metric. - Ayoub Foussoul; Vineet Goyal (EC, 2025)

Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources. - Vineet Goyal; Garud Iyengar; Rajan Udwani (Oper. Res., 2025)

Collaborative Min-Max Regret in Grouped Multi-Armed Bandits. - Moïse Blanchard; Vineet Goyal (CoRR, 2025)