David I. Inouye (Preferred)
David I Inouye
David Inouye
David I. Inouye
Assistant Professor, Purdue University
Joined
October 2018
Names
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Emails
****@cs.cmu.edu (Confirmed)
****@cs.utexas.edu (Confirmed)
****@gatech.edu (Confirmed)
****@purdue.edu (Confirmed)
Personal Links
Career & Education History
Assistant Professor
Purdue University (purdue.edu)
2019 – Present
Postdoc
Carnegie Mellon University (cmu.edu)
2017 – 2019
PhD student
University of Texas, Austin (utexas.edu)
2012 – 2017
Undergrad student
Georgia Institute of Technology (gatech.edu)
2007 – 2012
Advisors, Relations & Conflicts
Expertise
distribution shift
, explainable AI
, interpretability
, explanability
Present
causal ML
, counterfactuals
, causal representation learning
, counterfactual fairness
Present
federated learning
, localized learning
, iterative learning methods
Present
distribution matching
, domain-invariant representation learning
, distribution shift
Present
Publications
Co-Authors
- Ajinkya Kale
- Amritanshu Ranjan
- Arun Sai Suggala
- Avi Amalanshu
- Ben Usman
- Bruno Ribeiro
- Bryon Aragam
- Cheng-Yu Hsieh
- Chih-Kuan Yeh
- Christopher Brinton
- Christopher G. Brinton
- David J. Burnett
- Devesh Upadhyay
- Easton Currie
- Han Zhao
- Hareesh Ravi
- Hyung Zin Lim
- Inderjit S. Dhillon
- James Z. Hare
- Jim Lim
- Jing Gao
- Jingwan Lu
- Joon Sik Kim
- Krishna Kumar Singh
- Lance M. Kaplan