[Ml-stat-talks] Fwd: [talks] Fwd: Princeton Optimization Seminar, Bernard Chazelle, Thursday, Dec. 1, 4:30 PM, Sherrerd 101

Barbara Engelhardt bee at princeton.edu
Mon Nov 28 09:45:10 EST 2016

Talk of interest.

---------- Forwarded message ----------
From: Nicole E. Wagenblast <nwagenbl at cs.princeton.edu>
Date: Mon, Nov 28, 2016 at 9:31 AM
Subject: [talks] Fwd: Princeton Optimization Seminar, Bernard Chazelle,
Thursday, Dec. 1, 4:30 PM, Sherrerd 101
To: "Talks (colloquium)" <talks at lists.cs.princeton.edu>
Cc: Amir Ali Ahmadi <a_a_a at princeton.edu>

*-----   **Princeton Optimization Seminar**   -----*

*DATE: TODAY *Thursday, December 1, 2016

*TIME*:  4:30PM

*LOCATION: * Sherrerd Hall 101

*SPEAKER:* Bernard Chazelle, Princeton University

*TITLE: *The Mathematics of Natural Algorithms

I will review some of the recent techniques we've used in our study of
natural algorithms. These include Dirichlet series for matrix products,
mean-field approximations in opinion dynamics, graph sequence grammars,
anti-mixing methods for iterated learning, and tools for renormalizing
network-based dynamical systems. The talk will be self-contained and

Bernard Chazelle is Eugene Higgins Professor of Computer Science at
Princeton University, where he has been on the faculty since 1986. His
current research focuses on the “algorithmic nature” of living systems. A
professor at the Collège de France in Paris in recent years as well as a
member of the Institute for Advanced Study in Princeton, he received his
PhD in computer science from Yale University in 1980. The author of the
book, "The Discrepancy Method," he is a fellow of the American Academy of
Arts and Sciences, the European Academy of Sciences, the Association for
Computing Machinery, and the recipients of three Best-Paper awards from

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Barbara E Engelhardt
Assistant Professor
Department of Computer Science
Center for Statistics and Machine Learning
Princeton University
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