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March 2021

Stochastics and Statistics Seminar – TBD

James Robins, Harvard

March 12 @ 11:00 am - 12:00 pm
online

TBD

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Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization

Daniel Roy, University of Toronto

March 19 @ 11:00 am - 12:00 pm
online

Abstract: We consider sequential prediction with expert advice when data are generated from distributions varying arbitrarily within an unknown constraint set. We quantify relaxations of the classical i.i.d. assumption in terms of these constraint sets, with i.i.d. sequences at one extreme and adversarial mechanisms at the other. The Hedge algorithm, long known to be minimax optimal in the adversarial regime, was recently shown to be minimax optimal for i.i.d. data. We show that Hedge with deterministic learning rates is suboptimal…

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Stochastics and Statistics Seminar – TBD

Vladimir Vovk, Royal Holloway, University of London

March 26 @ 11:00 am - 12:00 pm
online

TBD

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April 2021

Stochastics and Statistics Seminar – TBD

Ann Lee, Carnegie Mellon

April 2 @ 11:00 am - 12:00 pm
online

TBD

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Stochastics and Statistics Seminar – TBD

Suriya Gunasekar, Microsoft Research

April 9 @ 11:00 am - 12:00 pm
online

TBD

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AI for Healthcare Equity Conference

April 12
online

The potential of AI to bring equity in healthcare has spurred significant research efforts across academia, industry and government. Racial, gender and socio-economic disparities have traditionally afflicted healthcare systems in ways that are difficult to detect and quantify. New AI technologies, however, provide a platform for change.

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Stochastics and Statistics Seminar – TBD

Eric Laber, North Carolina State University

April 16 @ 11:00 am - 12:00 pm
online

TBD

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Stochastics and Statistics Seminar – TBD

Hilary Finucane, Broad Institute

April 23 @ 11:00 am - 12:00 pm
online

TBD

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