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Saurabh Amin
Saurabh Amin (MIT)
32-155
LIDS Seminar Series Speaker: Saurabh Amin Affiliation: MIT ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »Benjamin Hobbs
Benjamin Hobbs (Johns Hopkins University)
32-155
Title Talk: Modeling Electricity Markets with Complementarity: Why It's Important (and Fun) Speaker: Benjamin Hobbs Affiliation: Johns Hopkins University Abstract: Electric power: done wrong, it drags the economy and environment down; done right, it could help to create a more efficient, brighter, and cleaner future. Better policy, planning, and operations models--both simple analytical, and complex computational ones--are essential if we're going to do it right. Better modeling is also fun, as the math of electricity models is inherently interesting and revealing…
Find out more »Model-X knockoffs for controlled variable selection in high dimensional nonlinear regression
Lucas Janson (Harvard University )
E18-304
Abstract: Many contemporary large-scale applications, from genomics to advertising, involve linking a response of interest to a large set of potential explanatory variables in a nonlinear fashion, such as when the response is binary. Although this modeling problem has been extensively studied, it remains unclear how to effectively select important variables while controlling the fraction of false discoveries, even in high-dimensional logistic regression, not to mention general high-dimensional nonlinear models. To address such a practical problem, we propose a new…
Find out more »Abbas El Gamal
Abbas El Gamal (Stanford University)
32-141
LIDS Seminar Series Speaker: Abbas El Gamal Affiliation: Stanford University ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »Optimal hypothesis testing for stochastic block models with growing degrees
Zongming Ma (University of Pennsylvania)
Abstract: In this talk, we discuss optimal hypothesis testing for distinguishing a stochastic block model from an Erdos--Renyi random graph when the average degree grows to infinity with the graph size. We show that linear spectral statistics based on Chebyshev polynomials of the adjacency matrix can approximate signed cycles of growing lengths when the graph is sufficiently dense. The signed cycles have been shown by Banerjee (2018) to determine the likelihood ratio statistic asymptotically. In this way one achieves sharp…
Find out more »The Regression Discontinuity Design: Methods and Applications
Rocio Titiunik (University of Michigan)
E18-304
Abstract: The Regression Discontinuity (RD) design is one of the most widely used non-experimental strategies for the study of treatment effects in the social, behavioral, biomedical, and statistical sciences. In this design, units are assigned a score and a treatment is offered if the value of that score exceeds a known threshold---and withheld otherwise. In this talk, I will discuss the assumptions under which the RD design can be used to learn about treatment effects, and how to make valid…
Find out more »Joint estimation of parameters in Ising Model
Sumit Mukherjee (Columbia University)
E18-304
Abstract: Inference in the framework of Ising models has received significant attention in Statistics and Machine Learning in recent years. In this talk we study joint estimation of the inverse temperature parameter β, and the magnetization parameter B, given one realization from the Ising model, under the assumption that the underlying graph of the Ising model is completely specified. We show that if the graph is either irregular or sparse, then both the parameters can be estimated at rate n−1/2…
Find out more »SES PhD Admissions Webinar
Ali Jadbabaie (MIT)
online
Learn about admission to the Social and Engineering Systems Doctoral Program. Webinars are led by a member of the IDSS faculty, who introduces the program and answers your questions. Please register in advance.
Find out more »Christos Papadimitriou
Christos Papadimitriou (Columbia University)
32-155
Title Talk: Computing with Assemblies Speaker: Christos Papadimitriou Affiliation: Columbia University Abstract: Computation in the brain has been modeled productively at many scales, ranging from molecules to dendrites, neurons, and synapses, all the way to the whole brain models useful in cognitive science. I will discuss recent work on an intermediate layer, involving assemblies of neurons --- that is to say, sets of neurons firing together in a repetitive pattern whenever we think of a particular memory, concept or idea.…
Find out more »Alan Frieze
Carnegie Melon University
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
Find out more »