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LIDS Seminar Series – Sewoong Oh
Sewoong Oh (University of Illinois, Urbana-Champaign)
32-155
LIDS Seminar Series Speaker: Sewoong Oh Affiliation: University of Illinois, Urbana-Champaign ____________________________________ 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 »Text as Data in Social Science: Discovery, Measurement and Causal Inference
Brandon Stewart (Princeton University)
32-141
Social scientists are increasingly turning to computer-assisted text analysis as a way of understanding the digital footprints left by communities and individuals. Much of the technology that powers these approaches is borrowed from the fields of computer science and statistics; yet, social scientists have substantially different goals. We focus on the development of methods that support three core tasks: discovery, measurement and causal inference with text. We introduce the Structural Topic Model (STM), a bayesian generative model of text which…
Find out more »Jingbo Liu
MIT
E18-304
Abstract Concentration of measure refers to a collection of tools and results from analysis and probability theory that have been used in many areas of pure and applied mathematics. Arguably, the first data science application of measure concentration (under the name ‘‘blowing-up lemma’’) is the proof of strong converses in multiuser information theory by Ahlswede, G'acs and K"orner in 1976. Since then, measure concentration has found applications in many other information theoretic problems, most notably the converse (impossibility) results in…
Find out more »Tselil Schramm
Harvard University
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
Find out more »John Duchi
Stanford University
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
Find out more »Data Science and Big Data Analytics: Making Data-Driven Decisions
Developed by 10 MIT faculty members at IDSS, this seven-week course is specially designed for data scientists, business analysts, engineers and technical managers looking to learn strategies to harness data. Offered by MIT xPRO. Course begins Oct 15, 2018.
Find out more »LIDS Seminar Series – Augmented Lagrangians and Decomposition in Convex and Nonconvex Programming
Terry Rockafellar (University of Washington)
32-155
LIDS Seminar Series Speaker: Terry Rockafellar Affiliation: University of Washington Abstract: Multiplier methods based on augmented Lagrangians are attractive in convex and nonconvex programming for their stabilizing and even convexifying properties. They have widely been seen, however, as incompatible with taking advantage of a block-separable structure. In fact, when articulated in the right way, they can produce decomposition algorithms in which low-dimensional subproblems can be solved in parallel. Convergence in the nonconvex case is, of course, just local, but is…
Find out more »Can machine learning survive the artificial intelligence revolution?
Francis Bach (INRIA)
32-141
Abstract: Data and algorithms are ubiquitous in all scientific, industrial and personal domains. Data now come in multiple forms (text, image, video, web, sensors, etc.), are massive, and require more and more complex processing beyond their mere indexation or the computation of simple statistics, such as recognizing objects in images or translating texts. For all of these tasks, commonly referred to as artificial intelligence (AI), significant recent progress has allowed algorithms to reach performances that were deemed unreachable a few…
Find out more »LIDS Seminar Series – Ayfer Ozgur Aydin
Ayfer Ozgur Aydin (Stanford University)
32-155
LIDS Seminar Series Speaker: Ayfer Ozgur Aydi 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 »