Events and Activities

Explore current and upcoming events and activities happening at the Institute for Advanced Study.

Aug 13

Seminar on Theoretical Machine Learning

Latent State Discovery in Reinforcement Learning
John Langford
3:00pm | Remote Access Only - see link below
There are three core orthogonal problems in reinforcement learning: (1) Crediting actions (2) generalizing across rich observations (3) Exploring to discover the information necessary for learning...
Aug 18

Seminar on Theoretical Machine Learning

To Be Announced
Li Deng
12:30pm | Remote Access Only - see link below
Aug 20

Seminar on Theoretical Machine Learning

To Be Announced
Jason Eisner
3:00pm | Remote Access Only - see link below
Aug 25

Seminar on Theoretical Machine Learning

To Be Announced
Piotr Indyk
12:30pm | Remote Access Only - see link below
Aug 27

Seminar on Theoretical Machine Learning

To Be Announced
Inderjit Dhillon
3:00pm | Remote Access Only - see link below
Sep 08

Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications

Statistical modeling and missing data
Rod Little
9:15am | Virtual
Abstract: There is a very extensive literature of statistical methods for the analysis of data with missing values. I'll provide a historical overview, including ad-hoc approaches, statistical...
Sep 08

Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications

Supervised learning with missing values
Julie Josse
10:40am | Virtual
Abstract: An abundant literature addresses missing data in an inferential framework: estimating parameters and their variance from incomplete tables. Here, we consider supervised-learning settings...
Sep 08

Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications

Missing data in single cell studies: augmentation, integration, and discovery
Barbara Englehardt
11:05am | Virtual
Sep 08

Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications

Experimental Evaluation of Computer-Assisted Human Decision Making: A Missing Data Approach
Kosuke Imai
11:55am | Virtual
Abstract: In today’s data-driven society, human beings still make most critical decisions and yet they are increasingly utilizing recommendations produced by statistical and machine...
Sep 09

Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications

Model-based clustering of high-dimensional data: Pitfalls & solutions
David Dunson
12:00pm | Virtual
Abstract: In many applications, it is of interest to cluster subjects based on very high-dimensional data, often in the presence of missing data.  Although discrete mixture models are...