Srikanth Jagabathula

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Devavrat ShahMassachusetts Institute of TechnologyE-mail confirmado em mit.edu
Vivek FariasMassachusetts Institute of TechnologyE-mail confirmado em mit.edu
Ashwin VenkataramanAssistant Professor, Jindal School of Management, UT DallasE-mail confirmado em utdallas.edu
Lakshminarayanan SubramanianProfessor of Computer Science, Courant Institute, New York UniversityE-mail confirmado em cs.nyu.edu
Gustavo VulcanoUniversidad Torcuato di TellaE-mail confirmado em utdt.edu
Paat RusmevichientongProfessor, Marshall School of Business, University of Southern CaliforniaE-mail confirmado em marshall.usc.edu
Sunandan ChakrabortyIndiana University IUPUIE-mail confirmado em iu.edu
Vineet GoyalColumbia UniversityE-mail confirmado em ieor.columbia.edu
Antoine DesirINSEADE-mail confirmado em insead.edu
Eitan MullerProfessor of Marketing, Stern School of Business, New York UniversityE-mail confirmado em stern.nyu.edu
Arun SundararajanHarold Price Professor of Entrepreneurship and Technology, New York UniversityE-mail confirmado em stern.nyu.edu
Apostolos FilippasFordham University, Gabelli School of BusinessE-mail confirmado em stern.nyu.edu
Nina MishraPrincipal Scientist, AmazonE-mail confirmado em amazon.com
Ashutosh Deepak GorePrincipal Engineer / Mgr, QualcommE-mail confirmado em qti.qualcomm.com
Vishal DoshiE-mail confirmado em alum.mit.edu
Sreenivas GollapudiGoogleE-mail confirmado em google.com
Ananth BalashankarResearch Scientist, Google; PhD, New York UniversityE-mail confirmado em nyu.edu
Jay ChenSenior Researcher (ICSI)E-mail confirmado em icsi.berkeley.edu

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Srikanth Jagabathula

NYU Stern School of Business

E-mail confirmado em stern.nyu.edu - Página inicial

Operations Management Machine Learning Revenue Management and Pricing Optimization


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A nonparametric approach to modeling choice with limited data VF Farias, S Jagabathula, D Shah Management science 59 (2), 305-322, 2013	395	2013
A nonparametric joint assortment and price choice model S Jagabathula, P Rusmevichientong Management Science 63 (9), 3128-3145, 2017	159	2017
Offline assortment optimization in the presence of an online channel D Dzyabura, S Jagabathula Management Science 64 (6), 2767-2786, 2018	108	2018
Reputation-based worker filtering in crowdsourcing S Jagabathula, L Subramanian, A Venkataraman Advances in Neural Information Processing Systems 27, 2014	85	2014
Inferring rankings under constrained sensing S Jagabathula, D Shah Advances in Neural Information Processing Systems 21, 2008	85	2008
Assortment optimization under general choice S Jagabathula Available at SSRN 2512831, 2014	84*	2014
A partial-order-based model to estimate individual preferences using panel data S Jagabathula, G Vulcano Management Science 64 (4), 1609-1628, 2018	76*	2018
Accounting for discrepancies between online and offline product evaluations D Dzyabura, S Jagabathula, E Muller Marketing Science 38 (1), 88-106, 2019	71	2019
Demand estimation under uncertain consideration sets S Jagabathula, D Mitrofanov, G Vulcano Operations Research 72 (1), 19-42, 2024	45*	2024
On high spatial reuse link scheduling in STDMA wireless ad hoc networks AD Gore, A Karandikar, S Jagabathula IEEE GLOBECOM 2007-IEEE Global Telecommunications Conference, 736-741, 2007	45	2007
The limit of rationality in choice modeling: Formulation, computation, and implications S Jagabathula, P Rusmevichientong Management Science 65 (5), 2196-2215, 2019	44	2019
Predicting socio-economic indicators using news events S Chakraborty, A Venkataraman, S Jagabathula, L Subramanian Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	40	2016
Identifying unreliable and adversarial workers in crowdsourced labeling tasks S Jagabathula, L Subramanian, A Venkataraman Journal of Machine Learning Research 18 (93), 1-67, 2017	38	2017
A conditional gradient approach for nonparametric estimation of mixing distributions S Jagabathula, L Subramanian, A Venkataraman Management Science, 2020	35	2020
Optimal delay scheduling in networks with arbitrary constraints S Jagabathula, D Shah Proceedings of the 2008 ACM SIGMETRICS international conference on …, 2008	34	2008
A data-driven approach to modeling choice V Farias, S Jagabathula, D Shah Advances in Neural Information Processing Systems 22, 2009	32	2009
A model-based embedding technique for segmenting customers S Jagabathula, L Subramanian, A Venkataraman Operations Research 66 (5), 1247-1267, 2018	29*	2018
Assortment optimization under the mallows model A Désir, V Goyal, S Jagabathula, D Segev Advances in Neural Information Processing Systems 29, 2016	26	2016
Mallows-smoothed distribution over rankings approach for modeling choice A Désir, V Goyal, S Jagabathula, D Segev Operations Research 69 (4), 1206-1227, 2021	25	2021
The limits of centralized pricing in online marketplaces and the value of user control A Filippas, S Jagabathula, A Sundararajan Management Science 69 (12), 7202-7216, 2023	23	2023

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