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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Robust Estimation: Optimal Rates, Computation and Adaptation
Chao Gao (University of Chicago)
E18-304
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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Tracy Ke (Harvard University)
E18-304
Counting and sampling at low temperatures
Will Perkins (University of Illinois at 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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