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Adel Javanmard

Assistant Professor of Data Sciences and Operations
Building
BRI
Room / Office
300A

PhD Stanford University; B.Sc Sharif University of Technology

Adel Javanmard is an assistant professor in the department of Data Sciences and Operation, at USC Marshall School of Business. Prior to joining USC, he was a postdoctoral research fellow at the Center for Science of Information. He received his PhD and MS in Electrical Engineering from Stanford University in 2014 and 2010. His research interests are broadly in the area of high-dimensional statistics, machine learning, optimization, and graphical models. Adel has won several awards, including the Zumberge Faculty Research and Innovation Fund (2017), Google Faculty Research Award (2016), the Thomas Cover dissertation award from IEEE Society (2015), the CSoI Postdoctoral Fellowship (2014), Stanford Graduate Fellowship (2010-2012), and the Stanford Electrical Engineering Fellowship (2009).

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Soltanolkotabi, Mahdi.,Javanmard, Adel.,Lee, Jason. () "Theoretical insights into the optimization landscape of over-parameterized shallow neural networks".
Javanmard, Adel.,Lee, Jason. () "A Flexible Framework for Hypothesis Testing in High-dimensions".
Javanmard, Adel.,Montanari, Andrea. () "De-biasing the Lasso: Optimal Sample Size for Gaussian Designs", Annals of Statistics.
Javanmard, Adel.,Montanari, Andrea. () "Online Rules for Control of False Discovery Rate and False Discovery Exceedance", Annals of Statistics, number of pages: 42.
Javanmard, Adel. () "Perishability of Data: Dynamic pricing under varying-coefficient models ".
Javanmard, Adel.,Nazer-Zadeh, Hamid. () "Dynamic pricing in high-dimensions".
Bhaskar, Anand.,Javanmard, Adel.,Courtade, Tom.,Tse, David. () "Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies", Bioinformatics Journal, 33, 879-885.
Tersenghi, Federico.,Javanmard, Adel.,Montanari, Andrea. () "Performance of a community detection algorithm based on semidefinite programming", Journal of Physics: Conference Series, International Meeting on High-Dimensional Data Driven Science (HD3), 699, 11.
Javanmard, Adel.,Montanari, Andrea.,Tersenghi, Federico. () "Phase Transitions in Semidefinite Relaxations", Proceedings of the National Academy of Sciences (PNAS), 113, E2218-E2223.
Bhaskar, Sonia.,Javanmard, Adel. () "1-bit matrix completion under exact low-rank constraint", 49th Annual Conference on Information Sciences and Systems (CISS), 1–6.
Akbari, Saieed.,Daemi, Akbar.,Hatami, Omid.,Javanmard, Adel.,Mehrabian, Abbas. () "Nowhere-zero Unoriented Flows in Hamiltonian Graphs", Ars Combinatoria Journal, CXX (120), 51-63.
Javanmard, Adel. () "Inference and Estimation in High-dimensional Data Analysis", Stanford University (PhD dissertation).
Javanmard, Adel.,Montanari, Andrea. () "Confidence intervals and hypothesis testing for high-dimensional regression", The Journal of Machine Learning Research, 15, 2869–2909.
Javanmard, Adel.,Montanari, Andrea. () "Hypothesis testing in high-dimensional regression under the gaussian random design model: Asymptotic theory", Information Theory, IEEE Transactions on, 60, 6522–6554.
Javanmard, Adel.,Montanari, Andrea. () "Localization from incomplete noisy distance measurements", Foundations of Computational Mathematics, 13, 297–345.
Javanmard, Adel.,Montanari, Andrea. () "State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling", Information and Inference, 2, 115-144.
Donoho, David.,Javanmard, Adel.,Montanari, Andrea. () "Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing", IEEE Transaction on Information Theory, 59, 7434–7464.
Anandkumar, Animashree.,Hsu, Daniel.,Javanmard, Adel.,Kakade, Sham. () "Learning linear bayesian networks with latent variables", Proceedings of the 30th international conference on machine learning, Proceedings of the 30th International Conference on Machine Learning (ICML), 28, 249–257.
Javanmard, Adel.,Montanari, Andrea. () "Model selection for high-dimensional regression under the generalized irrepresentability condition", Advances in Neural Information Processing Systems, Proceedings of Advances in Neural Information Processing Systems (NIPS), 3012–3020.
Javanmard, Adel.,Montanari, Alessandro. () "Nearly optimal sample size in hypothesis testing for high-dimensional regression", Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on, Proceedings of Annual Allerton Conference on Communications, Control and Computing, 1427–1434.
Ibrahimi, Morteza.,Javanmard, Adel.,Roy, Benjamin. () "Efficient reinforcement learning for high dimensional linear quadratic systems", Advances in Neural Information Processing Systems , 25, 2636–2644.
Javanmard, Adel.,Haridasan, Maya.,Zhang, Li. () "Multi-track map matching", Proceedings of the 20th International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 394–397.
Javanmard, Adel.,Montanari, Andrea. () "Subsampling at information theoretically optimal rates", IEEE International Symposium on Information Theory Proceedings (ISIT) , 2431–2435.
Javanmard, Adel.,Zhang, Li. () "The minimax risk of truncated series estimators for symmetric convex polytopes", IEEE International Symposium on Information Theory Proceedings (ISIT) , 1633–1637.
Alizadeh, Mohammad.,Javanmard, Adel.,Chuang, Shang-Tse.,Iyer, Sundar.,Lu, Yi. () "Versatile refresh: low complexity refresh scheduling for high-throughput multi-banked eDRAM", Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE, 40, 247–258.
Ibrahimi, Morteza.,Javanmard, Adel.,Kanoria, Yashodhan.,Montanari, Andrea. () "Robust max-product belief propagation", 45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 43–49.
Alizadeh, Mohammad.,Javanmard, Adel.,Prabhakar, Balaji. () "Analysis of DCTCP: stability, convergence, and fairness", Proceedings of the ACM SIGMETRICS , 73–84.
Mohimani, G.,Ashtiani, Farid.,Javanmard, Adel.,Hamdi, Maziyar. () "Mobility modeling, spatial traffic distribution, and probability of connectivity for sparse and dense vehicular ad hoc networks", Vehicular Technology, IEEE Transactions on, 58, 1998–2007.