Most recent news
Plenary talk (on domain adaptation and friends) at Journée des Statistiques 2022, Lyon, France.
Plenary talk (on transfer and multitask) at IBIS (Japan's leading ML venue) 2021, Japan.
2021 Sloan Fellow.
Honored to co-Chair COLT 2021 with Misha Belkin.
Visiting the Institute of Advanced Studies in Princeton, Jan-May 2020, as part of a
special year on Optimization, Statistics and Theoretical Machine Learning, led by Sanjeev Arora.
Plenary talk (on transfer and fairness) at Deep Learning Indaba 2019, Nairobi, Kenya.
Lecture (on modern analysis of kNN) at Machine Learning Summer School (MLSS) 2018, London, UK.
Bell Labs first Prize, 2019, for a proposal on Fundamental Limits of Transfer Learning.
Joint NSF grant (id. 1739809) with N. Feamster and A. Nadarayan, for Security and ML in IoT.
2018 Princeton School of Engineering Outstanding Research and Teaching Award for Junior Faculty.
(E. Lawrence Keyes, Jr./Emerson Electric Co. Faculty Advancement Award)
Research award for a new collaboration with ODH, Inc on Healthcare Analytics.
Plenary talk (on measuring transferability) at the 5th ECCV workshop on Transfer Learning in Vision.
Tutorial at ICML 2018, with Sanjoy Dasgupta,
on new perspectives on kNN
(Slides, Part 1 and Part 2)
Less recent news
Princeton Engineering Commendation List for Outstanding Teaching (ORF 524, Fall 16-17).
Co-organized NIPS 2016 Workshop on Nonparametrics.
2016 Seed grant from Siebel Energy Institute, jointly with Prof. Nick Feamster, to work on ML challenges in Internet-Of-Things (smart home/cities). Initial work will consider anomalous activity detection.
Lecture (on nonparametric and minimax analysis) at Machine Learning Summer School (MLSS) 2016, Cadiz.
Princeton Engineering Commendation List for Outstanding Teaching (ORF 524, Fall 15-16)
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