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October 2018

Topics in Information and Inference Seminar

Guy Bresler (MIT)

October 18 @ 4:00 pm - 5:00 pm
32-D677

This seminar consists of a series of lectures each followed by a period of informal discussion and social. The topics are at the nexus of information theory, inference, causality, estimation, and non-convex optimization. The lectures are intended to be tutorial in nature with the goal of learning about interesting and exciting topics rather than merely hearing about the most recent results. The topics are driven by the interests of the speakers, and with the exception of the two lectures on…

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Algorithmic thresholds for tensor principle component analysis

Aukosh Jagannath (Harvard University)

October 19 @ 11:00 am - 12:00 pm
E18-304

Abstract: Consider the problem of recovering a rank 1 tensor of order k that has been subject to Gaussian noise. The log-likelihood for this problem is highly non-convex. It is information theoretically possible to recover the tensor with a finite number of samples via maximum likelihood estimation, however, it is expected that one needs a polynomially diverging number of samples to efficiently recover it. What is the cause of this large statistical–to–algorithmic gap? To study this question, we investigate the…

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Topics in Information and Inference Seminar

Abbas El Gamal (Stanford University)

October 25 @ 4:00 pm - 5:00 pm

This seminar consists of a series of lectures each followed by a period of informal discussion and social. The topics are at the nexus of information theory, inference, causality, estimation, and non-convex optimization. The lectures are intended to be tutorial in nature with the goal of learning about interesting and exciting topics rather than merely hearing about the most recent results. The topics are driven by the interests of the speakers, and with the exception of the two lectures on…

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On the cover time of two classes of graph

Alan Frieze (Carnegie Mellon University)

October 26 @ 11:00 am - 12:00 pm
E18-304

Abstract: Dense Graphs: We consider abritrary graphs G with n vertices and minimum degree at least n. where δ > 0 is constant. If the conductance of G is sufficiently large then we obtain an asymptotic expression for the cover time CG of G as the solution to some explicit transcendental equation. Failing this, if the mixing time of a random walk on G is of a lesser magnitude than the cover time, then we can obtain an asymptotic deterministic…

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November 2018

Topics in Information and Inference Seminar

Abbas El Gamal (Stanford University)

November 1 @ 4:00 pm - 5:00 pm

This seminar consists of a series of lectures each followed by a period of informal discussion and social. The topics are at the nexus of information theory, inference, causality, estimation, and non-convex optimization. The lectures are intended to be tutorial in nature with the goal of learning about interesting and exciting topics rather than merely hearing about the most recent results. The topics are driven by the interests of the speakers, and with the exception of the two lectures on…

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Stochastics and Statistics Seminar

Sumit Mukherjee (Columbia University)

November 2 @ 11:00 am - 12:00 pm
E18-304

MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.

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Topics in Information and Inference Seminar

Suvrit Sra (MIT)

November 8 @ 4:00 pm - 5:00 pm
32-D677

This seminar consists of a series of lectures each followed by a period of informal discussion and social. The topics are at the nexus of information theory, inference, causality, estimation, and non-convex optimization. The lectures are intended to be tutorial in nature with the goal of learning about interesting and exciting topics rather than merely hearing about the most recent results. The topics are driven by the interests of the speakers, and with the exception of the two lectures on…

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Stochastics and Statistics Seminar

Zongming Ma (University of Pennsylvania)

November 9 @ 11:00 am - 12:00 pm
E18-304

MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.

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Topics in Information and Inference Seminar

Devavrat Shah (MIT)

November 15 @ 4:00 pm - 5:00 pm
32-D677

This seminar consists of a series of lectures each followed by a period of informal discussion and social. The topics are at the nexus of information theory, inference, causality, estimation, and non-convex optimization. The lectures are intended to be tutorial in nature with the goal of learning about interesting and exciting topics rather than merely hearing about the most recent results. The topics are driven by the interests of the speakers, and with the exception of the two lectures on…

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Stochastics and Statistics Seminar

Lucas Janson (Harvard University)

November 16 @ 11:00 am - 12:00 pm
E18-304

MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.

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