Our upcoming event for the Statistics Department Colloquium Series is scheduled for Monday, February 26 from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. Lunch will be provided to guests following the talk. This week's speaker will be Jioyang Huang of the Statistics and Data Science Department at the UPenn Wharton School.
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 8, from 10:30-11:30am EST. This week's guest will be ric Eric Vanden-Eijnden of NYU.
Our upcoming event for the Statistics Department Colloquium Series is scheduled for Monday, February 26 from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. Lunch will be provided to guests following the talk. This week's speaker will be Stephen Bates of MIT's Department of Electrical Engineering and Computer Science.
Title: Hypothesis testing with information asymmetry
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 8, from 10:30-11:30am EST. This week's guest will be Yuejie Chi of the Electrical and Computer Engineering department at Carnegie Mellon University.
Title: Solving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models
Abstract: Generative priors are effective countermeasures to combat the curse of...
Our upcoming event for the Statistics Department Colloquium Series is scheduled for Monday, February 26 from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. Lunch will be provided to guests following the talk. This week's speaker will be Andrea Montanari of the Statistics and Mathematics departments at Stanford University.
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 22, from 10:30-11:30am EST. This week's guest will be Ramon Van Handel of the Mathematics department at Princeton University.
Title: Sharp matrix concentration inequalities
Abstract:
Much of random matrix theory is concerned with a relatively small collection...
Our upcoming event for the Statistics Department Colloquium Series is scheduled for Monday, February 26 from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. Lunch will be provided to guests following the talk. This week's speaker will be Michael Li of the Harvard Business School.
Title: The Cram Method for Efficient Simultaneous Learning and Evaluation
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 8, from 10:30-11:30am EST. This week's guest will be Cedric Gerbelot of NYU.
Title : Dynamics of optimization on the multi-rank spiked tensor and matrix model
Abstract : We consider the multi-rank spiked matrix and tensor model and study gradient flow (GF), Langevin dynamics and online stochastic gradient descent (SGD). This model...
Our upcoming event for the Statistics Department Colloquium Series is scheduled for Monday, February 26 from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. Lunch will be provided to guests following the talk. This week's speaker will be Emery Brown of MIT's Departments of Computational Neuroscience and Health Sciences and Technology.
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 1, from 10:30-11:30am EST. This week's guest will be Sagnik Nandy of the Wharton School of the University of Pennsylvania.
Title: Orchestrated Approximate Message Passing: A new way of information integration in multimodal data
