Colloquia

2022 Apr 04

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Science Center, Room 316
Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 4th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Lucas Janson who is an Assistant Professor of Statistics at Harvard University.
 
Title: Controlled Discovery and Localization of Signals via Bayesian Linear Programming (BLiP)
 
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2022 Apr 25

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Science Center, Room 316

Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 25th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Yury Polyanskiy who is an Associate Professor in the Department of Electrial Engineering and Computer Sciences at Massachusetts Institute of Technology.

Title: Empirical Bayes estimators for Poisson and normal means

Abstract : We consider the classical problems of estimating the mean of an n-dimensional normally (with...

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2022 Apr 18

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Science Center, Room 316

Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 18th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Tselil Schramm who is an Assistant Professor of Statistics at Stanford University.

Title: Testing thresholds in high-dimensional random geometric graphs

Abstract: We study random geometric graphs in the high-dimensional setting, where the dimension grows to infinity with the number of...

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2022 Apr 11

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Zoom

Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 11th from 12:00 – 1:00pm (ET) and will be a virtual presentation over Zoom. The speaker is Deborah Marks who is an Associate Professor of Systems Biology at Harvard University. 

More presentation details to follow 

2022 Mar 28

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Science Center, Room 316

Our next event for the Statistics Department Colloquium Series is scheduled for this Monday, March 28th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Andrew Nobel who is a Robert Paul Ziff Distinguished Professor in the Department of Statistics and Operations Research at University of North Carolina.

Title : Stationary Optimal Transport with Applications to Graph Alignment

Abstract : Optimal transport seeks to find couplings of two given distributions with minimum expected cost. This...

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2022 Mar 21

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Science Center, Science Hall E

Our next event for the Statistics Department Colloquium Series is scheduled for this Monday, March 21st from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Yuan Liao who is an Associate Professor of Economics at Rutgers University.

Title : Neural Network Inference on Nonparametric Conditional Moment Restrictions with Weakly Dependent Data

Abstract : Neural Networks (NNs) are nonlinear sieves that can approximate nonlinear functions...

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2022 Mar 07

Statistics Colloquium Series

12:00pm to 1:00pm

Location: 

Science Center, Science Hall E

Our next event for the Statistics Department Colloquium Series is scheduled for this Monday, March 7th from 12:00 – 1:00pm (ET).

The speakers are Xiao-Li Meng: the Whipple V. N. Jones Professor of Statistics at Harvard University, and the Founding Editor-in-Chief of Harvard Data Science Review and Sham Kakade: a Gordon McKay Professor of Computer Science & Statistics at Harvard University....

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2022 Feb 28

Statistics Colloquium: Emilie Kaufmann

12:00pm to 1:00pm

Location: 

Zoom - please contact monestime@fas.harvard.edu for more information

Title : Non-parametric exploration in multi-armed bandits

Abstract : The multi-armed bandit model is useful for sequential resource allocation tasks in a stochastic environment, e.g., the design of a recommendation algorithm or an adaptive clinical trial. This simple model also captures the exploration/exploitation dilemma that is central in more structured reinforcement learning problems. The two most famous approaches to MABs, namely Upper Confidence Bounds and Thompson Sampling, share the need for some prior...

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2021 Nov 15

Statistics Colloquium: Whitney Newey (MIT)

12:00pm to 1:00pm

Location: 

Zoom - please contact emilie_campanelli@fas.harvard.edu for more information

Title:

Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression

Abstract:

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