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 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. 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 |