Vineet Goyal
Orcid: 0000-0001-6719-3212Affiliations:
- Columbia University, New York City, USA
According to our database1,
Vineet Goyal
authored at least 60 papers
between 2004 and 2024.
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Bibliography
2024
LP-based approximations for disjoint bilinear and two-stage adjustable robust optimization.
Math. Program., July, 2024
Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply.
Manuf. Serv. Oper. Manag., 2024
Proceedings of the Integer Programming and Combinatorial Optimization, 2024
2023
Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation.
Oper. Res., March, 2023
Math. Oper. Res., February, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Manag. Sci., 2022
Oper. Res., 2022
Proceedings of the Web and Internet Economics - 18th International Conference, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Math. Oper. Res., 2021
Oper. Res., 2021
Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage.
CoRR, 2021
Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources.
Proceedings of the Web and Internet Economics - 17th International Conference, 2021
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021
Proceedings of the Integer Programming and Combinatorial Optimization, 2021
Proceedings of the Approximation, 2021
2020
A tractable approach for designing piecewise affine policies in two-stage adjustable robust optimization.
Math. Program., 2020
Manag. Sci., 2020
Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations.
CoRR, 2020
CoRR, 2020
2019
On the adaptivity gap in two-stage robust linear optimization under uncertain packing constraints.
Math. Program., 2019
CoRR, 2019
2018
Math. Program., 2018
2017
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
2016
Oper. Res. Lett., 2016
Near-Optimal Algorithms for the Assortment Planning Problem Under Dynamic Substitution and Stochastic Demand.
Oper. Res., 2016
Oper. Res., 2016
Assortment Optimization under a Random Swap based Distribution over Permutations Model.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Improved approximations for two-stage min-cut and shortest path problems under uncertainty.
Math. Program., 2015
A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization.
Math. Program., 2015
2014
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
2013
An FPTAS for minimizing a class of low-rank quasi-concave functions over a convex set.
Oper. Res. Lett., 2013
Math. Methods Oper. Res., 2013
Near-optimal execution policies for demand-response contracts in electricity markets.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
ACM Trans. Model. Comput. Simul., 2012
Math. Program., 2012
2011
Math. Program., 2011
A Geometric Characterization of the Power of Finite Adaptability in Multistage Stochastic and Adaptive Optimization.
Math. Oper. Res., 2011
2010
Oper. Res. Lett., 2010
On the Power of Robust Solutions in Two-Stage Stochastic and Adaptive Optimization Problems.
Math. Oper. Res., 2010
A Plant Location Guide for the Unsure: Approximation Algorithms for Min-Max Location Problems.
Math. Oper. Res., 2010
2008
Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2008
2007
Proceedings of the Algorithms, 2007
2006
Pay Today for a Rainy Day: Improved Approximation Algorithms for Demand-Robust Min-Cut and Shortest Path Problems.
Proceedings of the STACS 2006, 2006
2005
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems.
Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), 2005
2004