Srikanth Jagabathula

Orcid: 0000-0002-4854-3181

According to our database1, Srikanth Jagabathula authored at least 32 papers between 2007 and 2024.

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Bibliography

2024
Frontiers in Operations: News Event-Driven Forecasting of Commodity Prices.
Manuf. Serv. Oper. Manag., 2024

Estimating Large-Scale Tree Logit Models.
Oper. Res., 2024

Demand Estimation Under Uncertain Consideration Sets.
Oper. Res., 2024

2023
The Limits of Centralized Pricing in Online Marketplaces and the Value of User Control.
Manag. Sci., December, 2023

Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction.
CoRR, 2023

Learning Conditional Granger Causal Temporal Networks.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022
Personalized Retail Promotions Through a Directed Acyclic Graph-Based Representation of Customer Preferences.
Oper. Res., 2022

2021
Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice.
Oper. Res., 2021

2020
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions.
Manag. Sci., 2020

2019
Accounting for Discrepancies Between Online and Offline Product Evaluations.
Mark. Sci., 2019

The Limit of Rationality in Choice Modeling: Formulation, Computation, and Implications.
Manag. Sci., 2019

Managing Market Mechanism Transitions: A Randomized Trial of Decentralized Pricing Versus Platform Control.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2018
A Partial-Order-Based Model to Estimate Individual Preferences Using Panel Data.
Manag. Sci., 2018

Offline Assortment Optimization in the Presence of an Online Channel.
Manag. Sci., 2018

A Model-Based Embedding Technique for Segmenting Customers.
Oper. Res., 2018

2017
A Nonparametric Joint Assortment and Price Choice Model.
Manag. Sci., 2017

Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks.
J. Mach. Learn. Res., 2017

A Model-based Projection Technique for Segmenting Customers.
CoRR, 2017

2016
Assortment Optimization Under the Mallows model.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Predicting Socio-Economic Indicators using News Events.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
Reputation-based Worker Filtering in Crowdsourcing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
A Nonparametric Approach to Modeling Choice with Limited Data.
Manag. Sci., 2013

2012
Sparse choice models.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
Nonparametric choice modeling: applications to operations management.
PhD thesis, 2011

Inferring Rankings Using Constrained Sensing.
IEEE Trans. Inf. Theory, 2011

Fair Scheduling in Networks Through Packet Election.
IEEE Trans. Inf. Theory, 2011

Shopping for products you don't know you need.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

2009
A Data-Driven Approach to Modeling Choice.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Optimal delay scheduling in networks with arbitrary constraints.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

Inferring rankings under constrained sensing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Fair Scheduling through Packet Election.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

2007
On High Spatial Reuse Link Scheduling in STDMA Wireless Ad Hoc Networks.
Proceedings of the Global Communications Conference, 2007


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