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Upcoming Events › Stochastics and Statistics Seminar Series

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

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February 2019

Capacity lower bound for the Ising perceptron

February 22, 2019 @ 11:00 am - 12:00 pm

Nike Sun (MIT)

E18-304

Abstract: The perceptron is a toy model of a simple neural network that stores a collection of given patterns. Its analysis reduces to a simple problem in high-dimensional geometry, namely, understanding the intersection of the cube (or sphere) with a collection of random half-spaces. Despite the simplicity of this model, its high-dimensional asymptotics are not well understood. I will describe what is known and present recent results. This is joint work with Jian Ding. Biography: Nike Sun is a faculty…

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March 2019

Why Aren’t Network Statistics Accompanied By Uncertainty Statements?

March 1, 2019 @ 11:00 am - 12:00 pm

Eric Kolaczyk (Boston University)

E18-304

Abstract: Over 500K scientific articles have been published since 1999 with the word “network” in the title. And the vast majority of these report network summary statistics of one type or another. However, these numbers are rarely accompanied by any quantification of uncertainty. Yet any error inherent in the measurements underlying the construction of the network, or in the network construction procedure itself, necessarily must propagate to any summary statistics reported. Perhaps surprisingly, there is little in the way of…

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Stochastics and Statistics Seminar Series

March 22, 2019 @ 11:00 am - 12:00 pm

Eliran Subag (Nw York University)

E18-304

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April 2019

Exponential line-crossing inequalities

April 12, 2019 @ 11:00 am - 12:00 pm

Aaditya Ramdas (Carnegie Mellon University)

E18-304

Abstract: This talk will present a class of exponential bounds for the probability that a martingale sequence crosses a time-dependent linear threshold. Our key insight is that it is both natural and fruitful to formulate exponential concentration inequalities in this way. We will illustrate this point by presenting a single assumption and a single theorem that together strengthen many tail bounds for martingales, including classical inequalities (1960-80) by Bernstein, Bennett, Hoeffding, and Freedman; contemporary inequalities (1980-2000) by Shorack and Wellner,…

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Stochastics and Statistics Seminar Series

April 19, 2019 @ 11:00 am - 12:00 pm

Aaron Roth (University of Pennsylvania)

E18-304

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May 2019

Stochastics and Statistics Seminar Series

May 3, 2019 @ 11:00 am - 12:00 pm

Tracy Ke (Harvard University)

E18-304

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Counting and sampling at low temperatures

May 10, 2019 @ 8:00 am - 5:00 pm

Will Perkins (University of Chicago)

E18-304

Abstract: We consider the problem of efficient sampling from the hard-core and Potts models from statistical physics. On certain families of graphs, phase transitions in the underlying physics model are linked to changes in the performance of some sampling algorithms, including Markov chains. We develop new sampling and counting algorithms that exploit the phase transition phenomenon and work efficiently on lattices (and bipartite expander graphs) at sufficiently low temperatures in the phase coexistence regime. Our algorithms are based on Pirogov-Sinai…

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