Adel Javanmard
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Assistant Professor Data Sciences and Operations Department Marshall School of Business (by courtesy) Department of Computer Science University of Southern California |
Contact
Office: 300A Bridge Hall, University of Southern California, Los Angeles, CA 90089
Tel: (213)821-4193
Email: ajavanma(at)usc.edu
Here are links to my Google Scholar Profile, LinkedIn Profile and a short bio in the third-person.
About Me
I am an Assistant Professor in the department of Data Sciences and Operations, Marshall School of Business at the University of Southern California.
I am broadly interested in design and analysis of statistical methods for large-scale data, high-dimensional inference, network analysis, non-convex optimization and personalized decision-making. For more details, please see my publications.
Prior to joining USC, I was NSF CSoI postdoctoral fellow with worksite at Stanford University and UC Berkeley. I obtained my Ph.D. in Electrical Engineering from Stanford University advised by Andrea Montanari.
Awards & Honors
Adobe Data Science Faculty Research Award, 2020.
IMS Tweedie New Researcher Award, 2020.
The NSF CAREER Award, 2019.
‘‘Outlier Research in Business” grant, USC Marshall, 2018.
The Dr. Douglas Basil Award for Junior Business Faculty, 2018.
Zumberge Individual Award 2017.
(USC James H. Zumberge Faculty Research and Innovation Fund)
Google Faculty Research Award 2016
Thomas M. Cover Dissertation Award, Information Theory Society, 2015.
Post-Doctoral Research Fellowship, Center for Science of Information (CSoI), 2015.
Student Paper Award Finalist,The IEEE International Symposium on Information Theory (ISIT), 2012.
Student Paper Award Finalist, The IEEE International Symposium on Information Theory (ISIT), 2011.
Stanford Graduate Fellowship, 2010–2013.
Stanford Electrical Engineering Fellowship, 2009–2010.
Silver medal, 45th International Mathematical Olympiad (IMO), Greece, 2004.
Gold medal, National Mathematical Olympiad, Tehran, IRAN, 2003.
Bronze medal, National Mathematical Olympiad, Tehran, IRAN, 2002.
Selected Publications
For the complete list of publications, check here
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard and Jason D. Lee
Accepted for publication in Journal of Royal Statistical Society, Series B, 2019.
Analysis of a Two-Layer Neural Network via Displacement Convexity
Adel Javanmard, Marco Mondelli, Andrea Montanari
Accepted for publication in Annals of Statistics, 2019
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
Negin Golrezaei, Adel Javanmard and Vahab Mirrokni
Accepted for publication in Operations Research, 2019.
(Preliminary version of this paper accepted to NeurIPS 2019.)
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi, Adel Javanmard and Jason D. Lee
in IEEE Transaction on Information Theory, 65(2), pages 742-769, 2018.
Phase Transitions in Semidefinite Relaxations [Website]
Adel Javanmard, Andrea Montanari and Federico Ricci-Tersenghi
In Proceedings of the National Academy of Sciences (PNAS), 113(16): E2218-E2223, 2016
Confidence Intervals and
Hypothesis Testing for High-Dimensional Regression [Website]
Adel Javanmard and Andrea Montanari
in Journal of Machine Learning Research, 15(1): 2869-2909, 2014.
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing
David L. Donoho, Adel Javanmard, Andrea Montanari
IEEE Transaction on Information Theory, vol. 59, no. 11, pp 7434-7464, Nov 2013.