I am a PhD student in CS at UCLA, advised by Aditya Grover. My research interest lies in the intersection of Decision making, Sequence modeling, and Generative Modeling. I am also interested in grounding my research in applications to Tackling Climate Change.
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AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
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