Aditya Grover

 

 

I am an assistant professor of computer science at UCLA. My research is centered around machine learning with limited supervision, and am currently focussing on probabilistic generative modeling and sequential decision making under uncertainty. I am also an affiliate faculty in the Institute of the Environment and Sustainability at UCLA, where I ground my foundations research in applications at the intersection of physical sciences and climate change.

Before joining UCLA, I was a research scientist in the Core ML team at FAIR in Meta. Previously, I completed my postdoctoral training at UC Berkeley (2021; advisor: Pieter Abbeel), PhD at Stanford University (2020; advisor: Stefano Ermon) and bachelors at IIT Delhi (2015; co-advisors: Mausam, Parag Singla), all in computer science. During my PhD, I spent wonderful summers interning at Google Brain, Microsoft Research, and OpenAI.

Contact: adityag at cs dot ucla dot edu

Selected Awards

Ph.D. Thesis

     Learning to Represent and Reason under Limited Supervision
     Advisor: Stefano Ermon
     Committee: Stephen Boyd (chair), Moses Charikar, Eric Horvitz, Jure Leskovec, Percy Liang
     [thesis][press 1, 2]
     ACM SIGKDD Doctoral Dissertation Award, 2021.

Journal and Conference Publications

Preprints

[* denotes equal contribution]

Teaching

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