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Srikanth Jagabathula
Srikanth Jagabathula
NYU Stern School of Business
Verified email at stern.nyu.edu - Homepage
Title
Cited by
Cited by
Year
A nonparametric approach to modeling choice with limited data
VF Farias, S Jagabathula, D Shah
Management science 59 (2), 305-322, 2013
3862013
A nonparametric joint assortment and price choice model
S Jagabathula, P Rusmevichientong
Management Science 63 (9), 3128-3145, 2017
1492017
Offline assortment optimization in the presence of an online channel
D Dzyabura, S Jagabathula
Management Science 64 (6), 2767-2786, 2018
992018
Inferring rankings under constrained sensing
S Jagabathula, D Shah
Advances in Neural Information Processing Systems 21, 2008
852008
Reputation-based worker filtering in crowdsourcing
S Jagabathula, L Subramanian, A Venkataraman
Advances in Neural Information Processing Systems 27, 2014
842014
Assortment optimization under general choice
S Jagabathula
Available at SSRN 2512831, 2014
80*2014
A partial-order-based model to estimate individual preferences using panel data
S Jagabathula, G Vulcano
Management Science 64 (4), 1609-1628, 2018
71*2018
Accounting for discrepancies between online and offline product evaluations
D Dzyabura, S Jagabathula, E Muller
Marketing Science 38 (1), 88-106, 2019
662019
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
452007
The limit of rationality in choice modeling: Formulation, computation, and implications
S Jagabathula, P Rusmevichientong
Management Science 65 (5), 2196-2215, 2019
392019
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
372016
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
362017
Demand estimation under uncertain consideration sets
S Jagabathula, D Mitrofanov, G Vulcano
Operations Research 72 (1), 19-42, 2024
35*2024
Optimal delay scheduling in networks with arbitrary constraints
S Jagabathula, D Shah
Proceedings of the 2008 ACM SIGMETRICS international conference on …, 2008
342008
A conditional gradient approach for nonparametric estimation of mixing distributions
S Jagabathula, L Subramanian, A Venkataraman
Management Science, 2020
322020
A data-driven approach to modeling choice
V Farias, S Jagabathula, D Shah
Advances in Neural Information Processing Systems 22, 2009
312009
A model-based embedding technique for segmenting customers
S Jagabathula, L Subramanian, A Venkataraman
Operations Research 66 (5), 1247-1267, 2018
28*2018
Assortment optimization under the mallows model
A Désir, V Goyal, S Jagabathula, D Segev
Advances in Neural Information Processing Systems 29, 2016
262016
Mallows-smoothed distribution over rankings approach for modeling choice
A Désir, V Goyal, S Jagabathula, D Segev
Operations Research 69 (4), 1206-1227, 2021
232021
Inferring sparse preference lists from partial information
V Farias, S Jagabathula, D Shah
Stochastic Systems 10 (4), 335-360, 2020
22*2020
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