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May 2018

Stochastics and Statistics Seminar Series: Fitting a putative manifold to noisy data

May 25 @ 11:00 am - 12:00 pm

Hariharan Narayanan (Tata Institute of Fundamental Research, Mumbai)


Abstract: We give a solution to the following question from manifold learning. Suppose data belonging to a high dimensional Euclidean space is drawn independently, identically distributed from a measure supported on a low dimensional twice differentiable embedded compact manifold M, and is corrupted by a small amount of i.i.d gaussian noise. How can we produce a manifold $M_o$ whose Hausdorff distance to M is small and whose reach (normal injectivity radius) is not much smaller than the reach of M?…

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LIDS Seminar Series – Vivek Borkar

May 15 @ 3:00 pm - 4:00 pm

Vivek Borkar (Indian Institute of Technology Bombay)


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Stochastics and Statistics Seminar – Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions

May 11 @ 11:00 am - 12:00 pm

Adel Javanmard (USC)

MIT Building E18, Room 304

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

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A Rationally Designed Biomolecular Integral Feedback Control System for Robust Gene Regulation

May 8 @ 3:00 pm - 4:00 pm

Mustafa Khammash ( ETH Zurich )


Abstract Humans have been influencing the DNA of plants and animals for thousands of years through selective breeding. Yet it is only over the last 3 decades or so that we have gained the ability to manipulate the DNA itself and directly alter its sequences through the modern tools of genetic engineering. This has revolutionized biotechnology and ushered in the era of synthetic biology. Among the possible applications enabled by synthetic biology is the design and engineering of feedback control…

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Data Science and Big Data Analytics: Making Data Driven Decisions

May 7


Developed by 10 MIT faculty members at IDSS, this seven-week course is specially designed for data scientist, business analyst, engineers and technical managers looking to learn the latest theories and strategies to harness data. Next course offered May 7, 2018. Offered by MIT xPRO.

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Stochastics and Statistics Seminar: Size-Independent Sample Complexity of Neural Networks

May 4 @ 11:00 am - 12:00 pm

Ohad Shamir (Weizman Institute)

MIT Building E18, Room 304

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

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IDSS Distinguished Seminar – Conflict in Networks: The Rise and Fall of Empires

May 1 @ 4:00 pm - 5:00 pm

Sanjeev Goyal (University of Cambridge)

MIT Building 32, Room 141

Abstract In the study of war, a recurring observation is that conflict between two opponents is shaped by third parties. The actions of these parties are in turn influenced by other proximate players. These considerations lead us to propose a model of conflict in a network. We study the influence of resources, technology, and the network of connections on the dynamics of war and the prospects of peace. Bio Sanjeev Goyal is Professor of Economics at the University of Cambridge…

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April 2018

Inference, Computation, and Visualization for Convex Clustering and Biclustering

April 27 @ 11:00 am - 12:00 pm

Genevera Allen (Rice)

MIT Building E18, Room 304

Abstract: Hierarchical clustering enjoys wide popularity because of its fast computation, ease of interpretation, and appealing visualizations via the dendogram and cluster heatmap. Recently, several have proposed and studied convex clustering and biclustering which, similar in spirit to hierarchical clustering, achieve cluster merges via convex fusion penalties. While these techniques enjoy superior statistical performance, they suffer from slower computation and are not generally conducive to representation as a dendogram. In the first part of the talk, we present new convex…

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LIDS Seminar Series: Jose M. F. Moura

April 24 @ 3:00 pm - 4:00 pm

Jose M F Moura (Carnegie Mellon University)


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SDSCon 2018

April 20

Bartos Theater, Media Lab

SDSCon 2018 is the second annual celebration of MIT’s statistics and data science community. Organized by MIT’s Statistics and Data Center (SDSC), the conference will feature presentations from established academic leaders, industry innovators, and rising stars in the field. Discussions will cover a wide range of theory and application, representing the latest research and breakthroughs in statistics and data science. SDSC is an MIT-wide focal point for advancing academic programs and research activities in statistics and data science. It was…

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