Arindam Banerjee
Founder Professor
Department of Computer Science
University of Illinois Urbana-Champaign


Research

My research interests are in Machine Learning, Artificial Intellgence, and Data Mining. My current work focuses on computational and statistical aspects of over-parameterized models including deep learning and generative models. I am also interested in sequential decision making problems.

I also work on applications of machine learning and data sciences in complex real world learning problems including problems in Climate Sciences, Ecology and Environmental Sciences, Recommendation Systems, and Finance, among others.

Here is a list of our Publications.

Prospective Students: We are looking for strong PhD students, both in core Machine Learning (ML) and application of ML to scientific problems. Please look through our Research and recent Publications to get a sense of our work.




KGML 2021 Workshop on Knowledge Guided Machine Learning.

AISTATS 2021 AISTATS 2021 Conference, AISTATS Virtual Page.

CI 2016 International Workshop on Climate Informatics.

NIPS 2014 Tutorial on Climate Change: Challenges for Machine Learning: Slides and Video.

KDD 2014 Workshop on Data Science for Social Good.

IMA 2012 Workshop on Machine Learning: Theory and Computation.

ICML 2011 Workshop on Machine Learning for Global Challenges.

CIDU 2011 Tutorial on Introduction to Machine Learning.

KDD 2010 Tutorial on Introduction to Graphical Models for Data Mining: Slides and Video.