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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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April 2019

Robust Estimation: Optimal Rates, Computation and Adaptation

April 26, 2019 @ 11:00 am - 12:00 pm

Chao Gao (University of Chicago)


Abstract: Chao Gao will discuss the problem of statistical estimation with contaminated data. In the first part of the talk, I will discuss depth-based approaches that achieve minimax rates in various problems. In general, the minimax rate of a given problem with contamination consists of two terms: the statistical complexity without contamination, and the contamination effect in the form of modulus of continuity. In the second part of the talk, I will discuss computational challenges of these depth-based estimators. An…

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May 2019

Stochastics and Statistics Seminar Series

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

Tracy Ke (Harvard University)


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Counting and sampling at low temperatures

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

Will Perkins (University of Illinois at Chicago)


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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