[ABE-L] Seminário PIPGEs com Alek Fröhlich (Italian Institute of Technology): 8/8 (sexta) às 14hs no CINA-UFSCar

[Rafael Izbicki]

Caros,

Na sexta-feira, 8 de Agosto às 14:00hs, teremos o seguinte seminário do
Programa Interinstitucional de Pós-Graduação em Estatística (PIPGEs) da
UFSCar-USP.

*Nome*: Alek Fröhlich (Italian Institute of Technology)

*Título: *Spectral Representation Learning for High-Dimensional Inference
*Resumo: *In this talk, we explore how the truncated singular value
decomposition of conditional expectation operators yields useful
representations for problems such as regression, uncertainty
quantification, and conditional probability estimation. We introduce a
learning algorithm reminiscent of contrastive methods in computer vision
and density ratio estimation, and show how the quality of learned
representations translates to downstream inference tasks with statistical
guarantees. We conclude with a brief look at ongoing work on spectral
representation learning in the contexts of distributional symmetries,
reinforcement learning, and conditional independence testing.

*Local: *Sala 5 do CINA-UFSCar (São Carlos)
Todos são bem vindos!

          Rafael

--
Rafael Izbicki
Associate Professor | Vice Director of Graduate Studies
Department of Statistics
Federal University of São Carlos (UFSCar)
https://rafaelizbicki.com/
https://small-research.github.io/website
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