Date & Time:
February 18, 2020 2:00 pm – 3:00 pm
Crerar 390, 5730 S. Ellis Ave., Chicago, IL,
02/18/2020 02:00 PM 02/18/2020 03:00 PM America/Chicago Adji Bousso Dieng (Columbia) – Deep Probabilistic Graphical Modeling Crerar 390, 5730 S. Ellis Ave., Chicago, IL,

Deep Probabilistic Graphical Modeling

Deep learning (DL) is a powerful approach to modeling complex and large scale data. However, DL models lack interpretable quantities and calibrated uncertainty. In contrast, probabilistic graphical modeling (PGM) provides a framework for formulating an interpretable generative process of data and a way to express uncertainty about what we do not know. How can we develop machine learning methods that bring together the expressivity of DL with the interpretability and calibration of PGM to build flexible models endowed with an interpretable latent structure that can be fit efficiently? I call this line of research deep probabilistic graphical modeling (DPGM). In this talk, I will discuss my work on developing DPGM for text data. In particular, I will show how DPGM enables flexible and interpretable topic modeling at large scale, unlocking several known challenges. Furthermore, I will describe how we can account for both local and long-range context, under the DPGM framework, to build a flexible sequential document model that leads to state-of-the-art performance on a downstream document classification task.

Host: Michael Maire

Adji Bousso Dieng

PhD Candidate, Columbia University

Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning.  Dieng is supported by a Dean Fellowship from Columbia University. She won a Microsoft Azure Research Award and a Google PhD Fellowship in Machine Learning. She was recognized as a rising star in machine learning by the University of Maryland. 

Prior to Columbia, Dieng worked as a Junior Professional Associate at the World Bank. She did her undergraduate studies in France where she attended Lycee Henri IV and Telecom ParisTech–France's Grandes Ecoles system. She spent the third year of Telecom ParisTech's curriculum at Cornell University where she earned a Master in Statistics.

Related News & Events

UChicago CS News

New 2022-23 CS Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Aug 11, 2022
In the News

UChicago Co-Leads $10 Million NSF Institute on Foundations of Data Science

Aug 09, 2022
UChicago CS News

UChicago CS Faculty Receive Industry Grants From J.P. Morgan, Google

Jul 19, 2022
UChicago CS News

UChicago London Colloquium Features Data Science, Quantum Research

Jul 01, 2022

Is it Ethical to Use Facial Imaging in Decision-Making?

Jun 28, 2022
UChicago CS News

Faculty Bill Fefferman and Chenhao Tan Receive Google Research Scholar Awards

Jun 21, 2022
UChicago CS News

Two Incoming UChicago CS PhD Students Receive Department of Energy Fellowship

Jun 16, 2022

Data Science Institute Summit

Jun 15, 2022
UChicago CS News

DSI Summer Lab Returns In-Person With 49 Students From Across the U.S.

Jun 14, 2022
UChicago CS News

UChicago CS Labs Join Museum of Science & Industry For Robot Block Party

Apr 20, 2022
UChicago CS News

Three UChicago CS Security Projects Receive Funding From Institute

Mar 25, 2022
UChicago CS News

Junchen Jiang Wins CAREER Award to Study Using ML to Optimize Video Experiences

Mar 24, 2022
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube