activity
20072025
most citedAssortment Optimization Under General Choice

20 citations · 25 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III

Pranam Shetty, Abhisek Upadhayaya, Parth Mitesh Shah +3

As financial institutions increasingly adopt Large Language Models (LLMs), rigorous domain-specific evaluation becomes critical for responsible deployment. This paper presents a co…

cs.LG2023

Near-Optimal Non-Convex Stochastic Optimization under Generalized Smoothness

Zijian Liu, Srikanth Jagabathula, Zhengyuan Zhou

The generalized smooth condition, -smoothness, has triggered people's interest since it is more realistic in many optimization problems shown by both empirical and t…

stat.ME2017★ 1 cited

A Model-based Projection Technique for Segmenting Customers

Srikanth Jagabathula, Lakshminarayanan Subramanian, Ashwin Venkataraman

We consider the problem of segmenting a large population of customers into non-overlapping groups with similar preferences, using diverse preference observations such as purchases,…

stat.ME2011★ 20 cited

Assortment Optimization Under General Choice

Vivek Farias, Srikanth Jagabathula, Devavrat Shah

We consider the problem of static assortment optimization, where the goal is to find the assortment of size at most that maximizes revenues. This is a fundamental decision prob…

stat.ME2010

Sparse Choice Models

Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah

Choice models, which capture popular preferences over objects of interest, play a key role in making decisions whose eventual outcome is impacted by human choice behavior. In most…

math.ST2009★ 3 cited

Inferring Rankings Using Constrained Sensing

Srikanth Jagabathula, Devavrat Shah

We consider the problem of recovering a function over the space of permutations (or, the symmetric group) over elements from given partial information; the partial information…