Views Navigation

Event Views Navigation

Calendar of Events

S Sun

M Mon

T Tue

W Wed

T Thu

F Fri

S Sat

0 events,

0 events,

0 events,

0 events,

0 events,

1 event,

Statistics and Data Science Seminar

0 events,

0 events,

0 events,

0 events,

0 events,

0 events,

1 event,

0 events,

0 events,

0 events,

1 event,

0 events,

0 events,

1 event,

0 events,

0 events,

0 events,

1 event,

IDSS Distinguished Seminars

0 events,

0 events,

0 events,

0 events,

0 events,

0 events,

0 events,

0 events,

1 event,

Statistics and Data Science Seminar Sourav Chatterjee (Stanford)

0 events,

0 events,

0 events,

0 events,

0 events,

0 events,

2 events,

Statistics and Data Science Seminar Po-Ling Loh (University of Pennsylvania)

0 events,

Theory to gain insight and inform practice: re-run of IMS Rietz Lecture, 2016

Henry L. Rietz, the first president of IMS, published his book “Mathematical Statistics” in 1927. One review wrote in 1928: “Professor Rietz has developed this theory so skillfully that the ’workers in other fields’, provided only that they have a passing familiarity with the grammar of mathematics, can secure a satisfactory understanding of the points…

Find out more »

Eigenvectors of Orthogonally Decomposable Functions and Applications

Eigendecomposition of quadratic forms guaranteed by the spectral theorem is the foundation for many important algorithms in computer science, data analysis, and machine learning. In this talk I will discuss our recent work on generalizations from quadratic forms to a broad class of functions based on an analogue of the spectral decomposition in an orthogonal…

Find out more »

The Moral Character of Cryptographic Work

Cryptography rearranges power: it configures who can dowhat, from what. This makes cryptography an inherently political tool, and it confers on the field an intrinsically moral dimension. The Snowden revelations motivate a reassessment of the political and moral positioning of cryptography. They lead one to ask if our inability to effectively address mass surveillance constitutes…

Find out more »

Matrix estimation by Universal Singular Value Thresholding

Sourav Chatterjee (Stanford)
E18-304

Consider the problem of estimating the entries of a large matrix, when the observed entries are noisy versions of a small random fraction of the original entries. This problem has received widespread attention in recent times. I will describe a simple estimation procedure, called Universal Singular Value Thresholding (USVT), that works for any matrix that…

Find out more »

Influence maximization in stochastic and adversarial settings

Po-Ling Loh (University of Pennsylvania)
E18-304

Abstract: We consider the problem of influence maximization in fixed networks, for both stochastic and adversarial contagion models. In the stochastic setting, nodes are infected in waves according to linear threshold or independent cascade models. We establish upper and lower bounds for the influence of a subset of nodes in the network, where the influence…

Find out more »


MIT Statistics + Data Science Center
Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge, MA 02139-4307
617-253-1764