On High Spatial Reuse Link Scheduling in STDMA Wireless Ad Hoc Networks. - Ashutosh Deepak Gore; Abhay Karandikar; Srikanth Jagabathula (GLOBECOM, 2007)

Fair Scheduling through Packet Election. - Srikanth Jagabathula; Vishal Doshi; Devavrat Shah (INFOCOM, 2008)

Inferring rankings under constrained sensing. - Srikanth Jagabathula; Devavrat Shah (NIPS, 2008)

Optimal delay scheduling in networks with arbitrary constraints. - Srikanth Jagabathula; Devavrat Shah (SIGMETRICS, 2008)

A Data-Driven Approach to Modeling Choice. - Vivek F. Farias; Srikanth Jagabathula; Devavrat Shah (NIPS, 2009)

Shopping for products you don't know you need. - Srikanth Jagabathula; Nina Mishra; Sreenivas Gollapudi (WSDM, 2011)

Fair Scheduling in Networks Through Packet Election. - Srikanth Jagabathula; Devavrat Shah (IEEE Trans. Inf. Theory, 2011)

Inferring Rankings Using Constrained Sensing. - Srikanth Jagabathula; Devavrat Shah (IEEE Trans. Inf. Theory, 2011)

Nonparametric choice modeling: applications to operations management. - Srikanth Jagabathula (2011)

Sparse choice models. - Vivek F. Farias; Srikanth Jagabathula; Devavrat Shah (CISS, 2012)

A Nonparametric Approach to Modeling Choice with Limited Data. - Vivek F. Farias; Srikanth Jagabathula; Devavrat Shah (Manag. Sci., 2013)

Reputation-based Worker Filtering in Crowdsourcing. - Srikanth Jagabathula; Lakshminarayanan Subramanian; Ashwin Venkataraman (NIPS, 2014)

Predicting Socio-Economic Indicators using News Events. - Sunandan Chakraborty; Ashwin Venkataraman; Srikanth Jagabathula; Lakshminarayanan Subramanian (KDD, 2016)

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

A Model-based Projection Technique for Segmenting Customers. - Srikanth Jagabathula; Lakshminarayanan Subramanian; Ashwin Venkataraman (CoRR, 2017)

Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks. - Srikanth Jagabathula; Lakshminarayanan Subramanian; Ashwin Venkataraman (J. Mach. Learn. Res., 2017)

A Nonparametric Joint Assortment and Price Choice Model. - Srikanth Jagabathula; Paat Rusmevichientong (Manag. Sci., 2017)

A Model-Based Embedding Technique for Segmenting Customers. - Srikanth Jagabathula; Lakshminarayanan Subramanian; Ashwin Venkataraman (Oper. Res., 2018)

Offline Assortment Optimization in the Presence of an Online Channel. - Daria Dzyabura; Srikanth Jagabathula (Manag. Sci., 2018)

A Partial-Order-Based Model to Estimate Individual Preferences Using Panel Data. - Srikanth Jagabathula; Gustavo J. Vulcano (Manag. Sci., 2018)

Managing Market Mechanism Transitions: A Randomized Trial of Decentralized Pricing Versus Platform Control. - Apostolos Filippas; Srikanth Jagabathula; Arun Sundararajan (EC, 2019)

The Limit of Rationality in Choice Modeling: Formulation, Computation, and Implications. - Srikanth Jagabathula; Paat Rusmevichientong (Manag. Sci., 2019)

Accounting for Discrepancies Between Online and Offline Product Evaluations. - Daria Dzyabura; Srikanth Jagabathula; Eitan Muller (Mark. Sci., 2019)

A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions. - Srikanth Jagabathula; Lakshminarayanan Subramanian; Ashwin Venkataraman (Manag. Sci., 2020)

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

Personalized Retail Promotions Through a Directed Acyclic Graph-Based Representation of Customer Preferences. - Srikanth Jagabathula; Dmitry Mitrofanov; Gustavo J. Vulcano (Oper. Res., 2022)

Learning Conditional Granger Causal Temporal Networks. - Ananth Balashankar; Srikanth Jagabathula; Lakshmi Subramanian (CLeaR, 2023)

Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction. - Zijian Liu 003; Perry Dong; Srikanth Jagabathula; Zhengyuan Zhou (CoRR, 2023)

The Limits of Centralized Pricing in Online Marketplaces and the Value of User Control. - Apostolos Filippas; Srikanth Jagabathula; Arun Sundararajan (Manag. Sci., 2023)

Demand Estimation Under Uncertain Consideration Sets. - Srikanth Jagabathula; Dmitry Mitrofanov; Gustavo J. Vulcano (Oper. Res., 2024)

Estimating Large-Scale Tree Logit Models. - Srikanth Jagabathula; Paat Rusmevichientong; Ashwin Venkataraman; Xinyi Zhao (Oper. Res., 2024)

Frontiers in Operations: News Event-Driven Forecasting of Commodity Prices. - Sunandan Chakraborty; Srikanth Jagabathula; Lakshminarayanan Subramanian; Ashwin Venkataraman (Manuf. Serv. Oper. Manag., 2024)

Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III. - Pranam Shetty; Abhisek Upadhayaya; Parth Mitesh Shah; Srikanth Jagabathula; Shilpi Nayak; Anna Joo Fee (CoRR, 2025)