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researcher

Héctor D. Ceniceros

2 papers here

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

author position
  • last author2

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

fields
  • math.OC1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedOptimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2020★ 6 cited

Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm

Yao Xuan, Robert Balkin, Jiequn Han +2

Game theory has been an effective tool in the control of disease spread and in suggesting optimal policies at both individual and area levels. In this paper, we propose a multi-reg…

stat.ML2018

Kernel Treelets

Hedi Xia, Hector D. Ceniceros

A new method for hierarchical clustering is presented. It combines treelets, a particular multiscale decomposition of data, with a projection on a reproducing kernel Hilbert space.…

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