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Rank centrality : ranking from pairwise comparisons

Negahban, Sahand; Oh, Sewoong; Shah, Devavrat - In: Operations research 65 (2017) 1, pp. 266-287

Persistent link: https://www.econbiz.de/10011649044

Finding rumor sources on random trees

Shah, Devavrat; Zaman, Tauhid - In: Operations research 64 (2016) 3, pp. 736-755

Persistent link: https://www.econbiz.de/10011508061

Revisiting stochastic loss networks : structures and approximations

Jung, Kyomin; Lu, Yingdong; Shah, Devavrat; Sharma, Mayank - In: Mathematics of operations research 44 (2019) 3, pp. 890-918

Persistent link: https://www.econbiz.de/10012105798

Iterative collaborative filtering for sparse matrix estimation

Borgs, Christian; Chayes, Jennifer T.; Shah, Devavrat; … - In: Operations research 70 (2022) 6, pp. 3143-3175

Persistent link: https://www.econbiz.de/10014307652

Nonasymptotic analysis of Monte Carlo tree search

Shah, Devavrat; Xie, Qiaomin; Xu, Zhi - In: Operations research 70 (2022) 6, pp. 3234-3260

Persistent link: https://www.econbiz.de/10014307793

A Nonparametric Approach to Modeling Choice with Limited Data

Farias, Vivek F.; Jagabathula, Srikanth; Shah, Devavrat - In: Management Science 59 (2013) 2, pp. 305-322

Choice models today are ubiquitous across a range of applications in operations and marketing. Real-world implementations of many of these models face the formidable stumbling block of simply identifying the "right" model of choice to use. Because models of choice are inherently high-dimensional...

Persistent link: https://www.econbiz.de/10010990440