YesRATEPROF
University of Wisconsin–MadisonComputer Science

Mikhail Khodak

Faculty

Domain Adaptation and Few-Shot LearningTopic Modeling
Write a review Add to the wiki
Is this you? Claim this profileNewer info? Request a verified updateCompareHomepage ORCID OpenAlex
MK
Steady
#7
/38 · early-career momentum
Claim this profile to pick a paper-doll look or a photo
Teaching
—/5
0 reviews · 0% verified
Citations
7.1k
h 12 · i10 14
Academic descendants
0
0 Advisees · 0 gen
Collaborators
0
0 institutions
Service
0
0 current · 0 honors
Funding
$0
0 grants · 0 partners
Influence
17/100
Top 98%
Momentum
44/100
Steady
0 reviews
Teaching
—/ 5
Clarity—
Helpfulness—
Fair grading—
5 lenses
About

Mikhail Khodak is a Computer Science scholar at University of Wisconsin–Madison. Research spans Domain Adaptation and Few-Shot Learning, Topic Modeling. 43 works, 7.1k citations (h-index 12).

Generated from open data. Know them? Add to this profile or claim it.

Assistant Professor · University of Wisconsin–Madison

Most-cited work

2020

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D’Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Joshua Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür

Foundations and Trends® in Machine Learning OATop-listed

6.3k
cites
Wiki completeness4 / 12
33%

The fill grows as students, colleagues and family add verified facts.