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researcher

Aashish Sheshadri

2 papers hereh-index 5270 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

most citedVariational quantum algorithm for unconstrained black box binary optimization: Application to feature selection

22 citations · 24 across the 2 of their papers we have counts for

collaborators

2 papers

quant-ph2022★ 22 cited

Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection

Christa Zoufal, Ryan V. Mishmash, Nitin Sharma +6

We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box. Th…

cs.IR2018★ 2 cited

Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably

Mucahid Kutlu, Tyler McDonnell, Aashish Sheshadri +2

Crowdsourcing offers an affordable and scalable means to collect relevance judgments for IR test collections. However, crowd assessors may show higher variance in judgment quality…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.