PhD Stanford University; B.Sc Sharif University of Technology<br>
Adel Javanmard is an associate professor in the department of Data Sciences and Operation, at USC Marshall School of Business. He received his PhD in Electrical Engineering from Stanford University in 2014. His research interests are broadly in the area of high-dimensional statistics, machine learning, optimization, and personal decision making. Adel is the recipient of several highly prestigious awards, including the Alfred Sloan research fellow in mathematics, IMS Tweedie New Researcher Award, NSF CAREER award, Adobe Faculty Research Award, Google Faculty Research Award and the Thomas Cover dissertation award from IEEE Society.
Negin Golrezaei, Adel Javanmard, Vahab Mirrokni
() "Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions ,"Journal of Operations Research69, 297–314.
Yash Deshpande, Adel Javanmard, Mohammad Mehrabi
() "Online Debiasing for Adaptively Collected High-dimensional Data ,".
Adel Javanmard, Mohammad Meharbi
() "Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff ,".
Simeng Shao, Jacob Bien, Adel Javanmard
() "Controlling the False Split Rate in Tree-Based Aggrega- tion ,".
Mohammad Mehrabi, Adel Javanmard, Ryan Rossi, Anup Rao, Tung Mai
() "Fundamental Trade-offs in Distributionally Adversarial Training ,"Proceedings of the 38th International Conference on Machine Learning (ICML), PMLR139, 7544-7554.
Adel Javanmard, Jason Lee
() "A Flexible Framework for Hypothesis Testing in High-dimensions ,"Journal of Royal Statistical Society (Series B)82, 685–718.
Adel Javanmard, Marco Mondelli, Andrea Montanari
() "Analysis of a Two-Layer Neural Network via Displacement Convexity ,"Annals of Statistics48, 3619-3642.
Adel Javanmard, Hamid Nazer-Zadeh, Simeng Shao
() "Multi-Product Dynamic Pricing in High- Dimensions with Heterogenous Price Sensitivity ," IEEE International Symposium on Information Theory (ISIT), 2652-2657.
Ery Castro, Adel Javanmard, Bruno Pelletier
() "Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning ,"Journal of Machine Learning Research (JMLR)21, 1-37.
Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani
() "Precise Tradeoffs in Adversarial Training for Linear Regression ,"Conference on Learning Theory (COLT), 2034-2078.
Adel Javanmard, Hamid Nazer-Zadeh
() "Dynamic pricing in high-dimensions ,"Journal of Machine Learning Research20, 315-363.
Adel Javanmard, Hamid Javadi
() "False Discovery Rate Control via Debiased Lasso ,"Electronic Journal of Statistics13, 1212-1253.
Amin Jalali, Adel Javanmard, Maryam Fazel
() "New Computational and Statistical Aspects of Regu- larized Regression with Application to Rare Feature Selection and Aggregation ,".
David Robertson, Jan Wildenhain, Adel Javanmard, Natasha Karp
() "onlineFDR: an R package to control the false discovery rate for growing data repositories ,"Bioinformatics Journal35, 4196–4199.
Negin Golrezaei, Adel Javanmard, Vahab Mirrokni
() "Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions ,"(short version in) Proceedings of Advances in Neural Information Processing Systems 3232, 9759–9769.
Adel Javanmard, Andrea Montanari
() "De-biasing the Lasso: Optimal Sample Size for Gaussian Designs ,"Annals of Statistics46, 2593-2622.
Adel Javanmard, Andrea Montanari
() "Online Rules for Control of False Discovery Rate and False Discovery Exceedance ,"Annals of Statistics46, 526-554.
Mahdi Soltanolkotabi, Adel Javanmard, Jason Lee
() "Theoretical insights into the optimization landscape of over-parameterized shallow neural networks ,"IEEE Transaction on Information Theory 65, 742-769.
Sonia Bhaskar, Adel Javanmard
() "1-bit matrix completion under exact low-rank constraint ,"49th Annual Conference on Information Sciences and Systems (CISS), 1–6.
Saieed Akbari, Akbar Daemi, Omid Hatami, Adel Javanmard, Abbas Mehrabian
() "Nowhere-zero Unoriented Flows in Hamiltonian Graphs ,"Ars Combinatoria JournalCXX (120), 51-63.
Adel Javanmard
() "Inference and Estimation in High-dimensional Data Analysis ,"Stanford University (PhD dissertation).
Adel Javanmard, Andrea Montanari
() "Confidence intervals and hypothesis testing for high-dimensional regression ,"The Journal of Machine Learning Research15, 2869–2909.
Adel Javanmard, Andrea Montanari
() "Hypothesis testing in high-dimensional regression under the gaussian random design model: Asymptotic theory ,"Information Theory, IEEE Transactions on60, 6522–6554.
Adel Javanmard, Andrea Montanari
() "Localization from incomplete noisy distance measurements ,"Foundations of Computational Mathematics13, 297–345.
David Donoho, Adel Javanmard, Andrea Montanari
() "Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing ,"IEEE Transaction on Information Theory59, 7434–7464.
Animashree Anandkumar, Daniel Hsu, Adel Javanmard, Sham Kakade
() "Learning linear bayesian networks with latent variables ,"Proceedings of the 30th international conference on machine learningProceedings of the 30th International Conference on Machine Learning (ICML)28, 249–257.
Adel Javanmard, Andrea Montanari
() "Model selection for high-dimensional regression under the generalized irrepresentability condition ,"Advances in Neural Information Processing SystemsProceedings of Advances in Neural Information Processing Systems (NIPS), 3012–3020.
Adel Javanmard, Alessandro Montanari
() "Nearly optimal sample size in hypothesis testing for high-dimensional regression ,"Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference onProceedings of Annual Allerton Conference on Communications, Control and Computing, 1427–1434.
Adel Javanmard, Andrea Montanari
() "State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling ,"Information and Inference2, 115-144.
Adel Javanmard, Maya Haridasan, Li Zhang
() "Multi-track map matching ,"Proceedings of the 20th International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 394–397.
Adel Javanmard, Andrea Montanari
() "Subsampling at information theoretically optimal rates ,"IEEE International Symposium on Information Theory Proceedings (ISIT) , 2431–2435.
Adel Javanmard, Li Zhang
() "The minimax risk of truncated series estimators for symmetric convex polytopes ,"IEEE International Symposium on Information Theory Proceedings (ISIT) , 1633–1637.
Mohammad Alizadeh, Adel Javanmard, Shang-Tse Chuang, Sundar Iyer, Yi Lu
() "Versatile refresh: low complexity refresh scheduling for high-throughput multi-banked eDRAM ,"Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE40, 247–258.
Morteza Ibrahimi, Adel Javanmard, Benjamin Roy
() "Efficient reinforcement learning for high dimensional linear quadratic systems ,"Advances in Neural Information Processing Systems 25, 2636–2644.
Mohammad Alizadeh, Adel Javanmard, Balaji Prabhakar
() "Analysis of DCTCP: stability, convergence, and fairness ,"Proceedings of the ACM SIGMETRICS , 73–84.
Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari
() "Robust max-product belief propagation ,"45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 43–49.
G Mohimani, Farid Ashtiani, Adel Javanmard, Maziyar Hamdi
() "Mobility modeling, spatial traffic distribution, and probability of connectivity for sparse and dense vehicular ad hoc networks ,"Vehicular Technology, IEEE Transactions on58, 1998–2007.
