Adel Javanmard
ContactOffice: 300A Bridge Hall, University of Southern California, Los Angeles, CA 90089
Here are links to my Google Scholar Profile, LinkedIn Profile and a short bio in the third-person. About MeI am an Associate Professor (with tenure) in the department of Data Sciences and Operations, Marshall School of Business at the University of Southern California (USC). I also hold a courtesy appointment at the Computer Science, USC Viterbi School of Engineering. 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. ActivitiesI am Associate Editor for Operations Research in the “Machine Learning and Data Science” department. I am also serving on the 2022 Dantzig Dissertation Prize Committee. What's new?
Selected PublicationsFor the complete list of publications, check here Precise Tradeoffs in Adversarial Training for Linear Regression
Analysis of a Two-Layer Neural Network via Displacement Convexity
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Phase Transitions in Semidefinite Relaxations [Website] Confidence Intervals and
Hypothesis Testing for High-Dimensional Regression [Website] Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing |