Publications

Preprints/Under Review

Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi, Adel Javanmard and Jason D. Lee, 2017.

A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard and Jason D. Lee, 2017.

Dynamic Pricing in High-dimensions
Adel Javanmard and Hamid Nazerzadeh, 2016.

Journal Articles

De-biasing the Lasso: Optimal Sample Size for Gaussian Designs
Adel Javanmard and Andrea Montanari
Accepted for publication in Annals of Statistics, 2017

Perishability of Data: Dynamic Pricing under Varying-Coefficient Models
Adel Javanmard
Accepted for publication in Journal of Machine Learning Research, 2017

Online Rules for Control of False Discovery Rate and False Discovery Exceedance
Adel Javanmard and Andrea Montanari
Accepted for publication in Annals of Statistics, 2017

Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies [Software]
Anand Bhaskar, Adel Javanmard, Thomas Courtade and David Tse
Published in Bioinformatics Journal, 2016

Phase Transitions in Semidefinite Relaxations [Website]
Adel Javanmard, Andrea Montanari and Federico Ricci-Tersenghi
In Proceedings of the National Academy of Sciences (PNAS), 2016

Nowhere-Zero Unoriented Flows in Hamiltonian Graphs
S. Akbari, A. Daemi, O. Hatami, A. Javanmard, A. Mehrabian
Ars Combinatoria Journal, Vol CXX,pp. 51-63, 2015

Confidence Intervals and Hypothesis Testing for High-Dimensional Regression [Website]
Adel Javanmard and Andrea Montanari
Published in Journal of Machine Learning Research, 2014.

Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard and Andrea Montanari
Published in IEEE Transaction on Information Theory, 2014.

State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
Adel Javanmard and Andrea Montanari
Journal of Information and Inference, vol. 2, no. 2, pp 115-144, 2013.

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.

Localization from Incomplete Noisy Distance Measurements
Adel Javanmard, Andrea Montanari
Foundations of Computational Mathematics, vol. 13, no. 3, pp 297-345, June 2013.

Zero-Sum Flows in Regular Graphs
S. Akbari, A. Daemi, O. Hatami, A. Javanmard, A. Mehrabian
Graphs and Combinatorics Journal, vol. 26, no. 5, pp. 603-615, 2010.

Analytical Evaluation of Average Delay and Maximum Stable Throughput along a Typical Two-Way Street for Vehicular Ad-Hoc Networks in Sparse Situation
Adel Javanmard, Farid Ashtiani
Elsevier Computer Communications, vol. 32, no. 16, pp. 1768–1780, Oct 2009.

Mobility Modeling, Spatial Traffic Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc Networks
G. Hossein Mohimani, Farid Ashtiani, Adel Javanmard, Maziar Hamdi
IEEE Transaction on vehicular Technology, vol. 58, no. 4, pp. 1998–2007, May 2009.

Ph.D. Thesis

Inference and Estimation in High-dimensional Data Analysis
Adel Javanmard
Stanford University, 2014.
Winner of the 2015 Thomas Cover Dissertation Award, from the IEEE Information Theory Society. [Link]

Conference Proceedings

Performance of a community detection algorithm based on semidefinite programming
Federico Ricci-Tersenghi, Adel Javanmard and Andrea Montanari
Proceedings for the International Meeting on High-dimensional Data Driven Science (HD3-2015), Kyoto, Dec 2015.

1-Bit Matrix Completion under Exact Low-Rank Constraint
Sonia Bhaskar and Adel Javanmard
In Conference on Information Sciences and Systems (CISS), 2015.

Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression
Adel Javanmard and Andrea Montanari
In Annual Allerton Conference on Communication, Control and Computing, 2013.

Confidence Intervals and Hypothesis Testing for High-Dimensional Regression [Website]
Adel Javanmard and Andrea Montanari
Advances in Neural Information Processing Systems Foundation (NIPS), 2013.

Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard and Andrea Montanari
Advances in Neural Information Processing Systems Foundation (NIPS), 2013. [full version]

Learning Linear Bayesian Networks with Latent Variables
Animashree Anandkumar, Daniel Hsu, Adel Javanmard, and Sham M. Kakade
In 30th International Conference on Machine Learning (ICML), 2013. [full version]

Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy
Advances in Neural Information Processing Systems Foundation (NIPS), 2012.

Subsampling at Information Theoretically Optimal Rates
Adel Javanmard, Andrea Montanari
In Proc. of the IEEE International Symposium on Information Theory (ISIT), 2012.

Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing
David L. Donoho, Adel Javanmard, Andrea Montanari
In Proc. of the IEEE International Symposium on Information Theory (ISIT), 2012.

Minimax Risk of Truncated Series Estimators over Symmetric Convex Polytopes
Adel Javanmard, Li Zhang
In Proc. of the IEEE International Symposium on Information Theory (ISIT), 2012.
(Nominated for Best Student Paper Award).

Versatile Refresh: Low-Complexity Refresh Scheduling for High-throughput Multi-banked eDRAM
Mohammad Alizadeh, Adel Javanmard, Shang-Tse Chuang, Sundar Iyer, and Yi Lu
In Proc. of ACM SIGMETRICS 2012.

Multi-track Map Matching
Adel Javanmard, Maya Haridasan, Li Zhang
In Proc. of the 20th International Conference on Advances in Geographic Information Systems (GIS), 2012.
Extended Abstract in Proc. of the 10th international conference on Mobile systems, applications, and services (MobiSys), 2012.

Robust Max-Product Belief Propagation
Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari
Asilomar Conference on Signals, Systems and Computers, 2011 (Invited).

Localization from Incomplete Noisy Distance Measurements
Adel Javanmard, Andrea Montanari
In Proc. of the IEEE International Symposium on Information Theory (ISIT), 2011.
(Nominated for Best Student Paper Award).

Analysis of DCTCP: Stability, Convergence, and Fairness
Mohammad Alizadeh, Adel Javanmard, Balaji Prabhakar
In Proc. of ACM SIGMETRICS 2011.

Estimating the Mixing Matrix in Underdetermined Sparse Component Analysis (SCA) Using Consecutive Independent Component Analysis (ICA)
A. Javanmard, P. Pad, M. Babaie-Zadeh, C. Jutten
In Proc. of 15th European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, Aug 2008.