Past Events

  • 2022 Nov 21

    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, November 21st from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Haiyan Huang who is the Professor and the Chair of the Department of Statistics at UC Berkeley.

    Title: DeepRHP: A Hybrid Variational Autoencoder for Designing Random Heteropolymers as Protein Mimics

    Abstract: Synthetic random heteropolymers (RHPs), consisting of a predefined set of monomers, offer...

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  • 2022 Nov 14

    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, November 14th from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Regina Liu who is a Distinguished Professor of Statistics at Rutgers University.

    Title: Fusion Learning: Fusion and i-Fusion (individualized Fusion)

    Abstract:  Advanced data collection technology nowadays has often made inferences from diverse data...

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  • 2022 Nov 07

    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, November 7th from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Jianqing Fan who is a Frederick L. Moore Professor of Finance, Professor of Operations Research and Financial Engineering at Princeton University.

    Title: Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression

    Abstract: We introduce a Factor Augmented Sparse Throughput (FAST)...

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  • 2022 Oct 31

    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, October 31st from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Kyra Gan who is a current postdoc in Statistical Reinforcement Learning lab with Susan Murphy at Harvard University.  She is joining Cornell Tech as an Assistant Professor in ORIE starting July 2023.

    ...

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  • 2022 Oct 24

    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, October 24th from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Arian Maleki who is an Associate Professor in the Department of Statistics at Columbia University.

    Title: Signal-to-noise-ratio aware minimaxity via higher order asymptotics

    Abstract: The minimax framework is one of the most popular approaches for comparing the performance of different estimators and...

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  • 2022 Oct 17

    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, October 17th from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Stefan Wager who is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business.

    TitleLearning from a Biased Sample

    ...

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  • 2022 Oct 03

    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, October 3rd from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Tianxi Cai who is a John Rock Professor of Translational Data Science at Harvard, with joint appointments in the Biostatistics Department and the Department of Biomedical Informatics.

    Title: Empowering Multi-institutional EHR for Real World Evidence: Opportunities and Challenges

    Abstract: ...

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  • 2022 Sep 26

    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, September 26th from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Tian Zheng who is currently Professor and Department Chair of Statistics at Columbia University.

    Title: Wasserstein Distributional Learning

    Abstract: Learning conditional densities and identifying factors that influence the entire distribution are vital tasks in data-driven applications....

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  • 2022 Sep 19

    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, September 19th from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Linjun Zhang who is an Assistant Professor in the Department of Statistics at Rutgers Univeristy.

    Title: The Cost of Privacy in Statistical Estimation

    Abstract: ...

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  • 2022 Sep 12

    Statistics Colloquium Series

    12:00pm to 1:00pm

    Location: 

    Science Center, Room 316

    Our First event for the Statistics Department Colloquium Series for fall is scheduled for Monday, September 12th from 12:00 – 1:00pm (ET) and will be an in person presentation in room 316 of the Science Center. The speaker is Jacob Bien who is an associate professor in the Department of Data Sciences and Operations at the Marshall School of Business at the University of Southern California.

    Title : Tree-Based Aggregation in Statistical Learning

    Abstract : In many fields, data are routinely being collected at finer resolutions than would previously have...

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