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Panos Toulis
Home
Working papers
Publications
Talks
Organization
Residual Randomization
Implicit SGD
Students
CV
Panos Toulis
Home
Working papers
Publications
Talks
Organization
Residual Randomization
Implicit SGD
Students
CV
More
Home
Working papers
Publications
Talks
Organization
Residual Randomization
Implicit SGD
Students
CV
Note (11/2019):
This website will not be regularly updated.
Please visit my updated
personal page
.
Research Interests
causal inference:
randomization inference, networks, interference, spillovers
(see also
residual randomization
)
machine learning:
large-scale inference, stochastic gradient descent (SGD, see
implicit SGD
).
Education
2016 -- Ph.D. in Statistics, Harvard University (
Advisors
:
Edo Airoldi
,
David Parkes
, and
Don Rubin
)
2011 -- Masters in Computer Science, Harvard University (
Advisor
:
David Parkes
)
2006 -- M.Eng. in Electrical and Computer Engineering, Aristotle University (
Advisor
:
Pericles Mitkas
)
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