Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA). - Adel Javanmard; P. Pad; Massoud Babaie-Zadeh; Christian Jutten (EUSIPCO, 2008)

Analytical evaluation of average delay and maximum stable throughput along a typical two-way street for vehicular ad hoc networks in sparse situations. - Adel Javanmard; Farid Ashtiani (Comput. Commun., 2009)

Mobility Modeling, Spatial Traffic Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc Networks. - G. Hosein Mohimani; Farid Ashtiani; Adel Javanmard; Maziyar Hamdi (IEEE Trans. Veh. Technol., 2009)

Zero-Sum Flows in Regular Graphs. - Saieed Akbari; Akbar Daemi; Omid Hatami; Adel Javanmard; Abbas Mehrabian (Graphs Comb., 2010)

Robust max-product belief propagation. - Morteza Ibrahimi; Adel Javanmard; Yashodhan Kanoria; Andrea Montanari (ACSCC, 2011)

Analysis of DCTCP: stability, convergence, and fairness. - Mohammad Alizadeh; Adel Javanmard; Balaji Prabhakar (SIGMETRICS, 2011)

Multi-track map matching. - Adel Javanmard; Maya Haridasan; Li Zhang 001 (SIGSPATIAL/GIS, 2012)

Subsampling at information theoretically optimal rates. - Adel Javanmard; Andrea Montanari (ISIT, 2012)

The minimax risk of truncated series estimators for symmetric convex polytopes. - Adel Javanmard; Li Zhang 001 (ISIT, 2012)

Poster: multi-track map matching. - Adel Javanmard; Maya Haridasan; Li Zhang 001 (MobiSys, 2012)

Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. - Morteza Ibrahimi; Adel Javanmard; Benjamin Van Roy (NIPS, 2012)

Versatile refresh: low complexity refresh scheduling for high-throughput multi-banked eDRAM. - Mohammad Alizadeh; Adel Javanmard; Shang-Tse Chuang; Sundar Iyer; Yi Lu 001 (SIGMETRICS, 2012)

State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling - Adel Javanmard; Andrea Montanari (CoRR, 2012)

Nearly optimal sample size in hypothesis testing for high-dimensional regression. - Adel Javanmard; Andrea Montanari (Allerton, 2013)

Learning Linear Bayesian Networks with Latent Variables. - Animashree Anandkumar; Daniel J. Hsu; Adel Javanmard; Sham M. Kakade (ICML (1), 2013)

Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models. - Adel Javanmard; Andrea Montanari (NIPS, 2013)

Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition. - Adel Javanmard; Andrea Montanari (NIPS, 2013)

Localization from Incomplete Noisy Distance Measurements. - Adel Javanmard; Andrea Montanari (Found. Comput. Math., 2013)

Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing. - David L. Donoho; Adel Javanmard; Andrea Montanari (IEEE Trans. Inf. Theory, 2013)

Confidence intervals and hypothesis testing for high-dimensional regression. - Adel Javanmard; Andrea Montanari (J. Mach. Learn. Res., 2014)

Hypothesis Testing in High-Dimensional Regression Under the Gaussian Random Design Model: Asymptotic Theory. - Adel Javanmard; Andrea Montanari (IEEE Trans. Inf. Theory, 2014)

1-bit matrix completion under exact low-rank constraint. - Sonia A. Bhaskar; Adel Javanmard (CISS, 2015)

Nowhere-zero Unoriented Flows in Hamiltonian Graphs. - Saieed Akbari; Akbar Daemi; Omid Hatami; Adel Javanmard; Abbas Mehrabian (Ars Comb., 2015)

On Online Control of False Discovery Rate. - Adel Javanmard; Andrea Montanari (CoRR, 2015)

Phase Transitions in Semidefinite Relaxations. - Adel Javanmard; Andrea Montanari; Federico Ricci-Tersenghi (CoRR, 2015)

Online Rules for Control of False Discovery Rate and False Discovery Exceedance. - Adel Javanmard; Andrea Montanari (CoRR, 2016)

Performance of a community detection algorithm based on semidefinite programming. - Adel Javanmard; Andrea Montanari; Federico Ricci-Tersenghi (CoRR, 2016)

Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies. - Anand Bhaskar; Adel Javanmard; Thomas A. Courtade; David Tse (Bioinform., 2017)

A Flexible Framework for Hypothesis Testing in High-dimensions. - Adel Javanmard; Jason D. Lee (CoRR, 2017)

Perishability of Data: Dynamic Pricing under Varying-Coefficient Models. - Adel Javanmard (J. Mach. Learn. Res., 2017)

False Discovery Rate Control via Debiased Lasso. - Adel Javanmard; Hamid Javadi (CoRR, 2018)

onlineFDR: an R package to control the false discovery rate for growing data repositories. - David S. Robertson 001; Jan Wildenhain; Adel Javanmard; Natasha A. Karp (Bioinform., 2019)

Multi-Product Dynamic Pricing in High-Dimensions with Heterogenous Price Sensitivity. - Adel Javanmard; Hamid Nazerzadeh; Simeng Shao (CoRR, 2019)

Analysis of a Two-Layer Neural Network via Displacement Convexity. - Adel Javanmard; Marco Mondelli; Andrea Montanari (CoRR, 2019)

New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation. - Amin Jalali 002; Adel Javanmard; Maryam Fazel (CoRR, 2019)

Online Debiasing for Adaptively Collected High-dimensional Data. - Yash Deshpande; Adel Javanmard; Mohammad Mehrabi (CoRR, 2019)

Dynamic Pricing in High-dimensions. - Adel Javanmard; Hamid Nazerzadeh (J. Mach. Learn. Res., 2019)

Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks. - Mahdi Soltanolkotabi; Adel Javanmard; Jason D. Lee (IEEE Trans. Inf. Theory, 2019)

Precise Tradeoffs in Adversarial Training for Linear Regression. - Adel Javanmard; Mahdi Soltanolkotabi; Hamed Hassani (COLT, 2020)

Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity. - Adel Javanmard; Hamid Nazerzadeh; Simeng Shao (ISIT, 2020)

Precise Statistical Analysis of Classification Accuracies for Adversarial Training. - Adel Javanmard; Mahdi Soltanolkotabi (CoRR, 2020)

Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. - Ery Arias-Castro; Adel Javanmard; Bruno Pelletier (J. Mach. Learn. Res., 2020)

Fundamental Tradeoffs in Distributionally Adversarial Training. - Mohammad Mehrabi; Adel Javanmard; Ryan A. Rossi; Anup B. Rao; Tung Mai (ICML, 2021)

Controlling the False Split Rate in Tree-Based Aggregation. - Simeng Shao; Jacob Bien; Adel Javanmard (CoRR, 2021)

Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions. - Negin Golrezaei; Adel Javanmard; Vahab S. Mirrokni (Oper. Res., 2021)

The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. - Hamed Hassani; Adel Javanmard (CoRR, 2022)

GRASP: A Goodness-of-Fit Test for Classification Learning. - Adel Javanmard; Mohammad Mehrabi (CoRR, 2022)

Learning Rate Schedules in the Presence of Distribution Shift. - Matthew Fahrbach; Adel Javanmard; Vahab Mirrokni; Pratik Worah (ICML, 2023)

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization. - Adel Javanmard; Vahab Mirrokni (NeurIPS, 2023)

Causal Inference with Differentially Private (Clustered) Outcomes. - Adel Javanmard; Vahab Mirrokni; Jean Pouget-Abadie (CoRR, 2023)

Measuring Re-identification Risk. - CJ Carey; Travis Dick; Alessandro Epasto; Adel Javanmard; Josh Karlin; Shankar Kumar; Andres Muñoz Medina; Vahab Mirrokni; Gabriel Henrique Nunes; Sergei Vassilvitskii; Peilin Zhong (Proc. ACM Manag. Data, 2023)

Optimistic Rates for Learning from Label Proportions. - Gene Li; Lin Chen; Adel Javanmard; Vahab Mirrokni (COLT, 2024)

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. - Adel Javanmard; Lin Chen; Vahab Mirrokni; Ashwinkumar Badanidiyuru; Gang Fu (ICLR, 2024)

PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses. - Adel Javanmard; Matthew Fahrbach; Vahab Mirrokni (ICML, 2024)

Retraining with Predicted Hard Labels Provably Increases Model Accuracy. - Rudrajit Das; Inderjit S. Dhillon; Alessandro Epasto; Adel Javanmard; Jieming Mao; Vahab Mirrokni; Sujay Sanghavi; Peilin Zhong (CoRR, 2024)

Multi-Task Dynamic Pricing in Credit Market with Contextual Information. - Adel Javanmard; Jingwei Ji; Renyuan Xu (CoRR, 2024)

Adversarial Robustness for Latent Models: Revisiting the Robust-Standard Accuracies Tradeoff. - Adel Javanmard; Mohammad Mehrabi (Oper. Res., 2024)

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. - Rashmi Ranjan Bhuyan; Adel Javanmard; Sungchul Kim; Gourab Mukherjee; Ryan A. Rossi; Tong Yu 001; Handong Zhao (J. Mach. Learn. Res., 2024)

Robust Feature Learning for Multi-Index Models in High Dimensions. - Alireza Mousavi Hosseini; Adel Javanmard; Murat A. Erdogdu (ICLR, 2025)

DeepCrossAttention: Supercharging Transformer Residual Connections. - Mike Heddes; Adel Javanmard; Kyriakos Axiotis; Gang Fu; MohammadHossein Bateni; Vahab Mirrokni (CoRR, 2025)

Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing. - Adel Javanmard; Rudrajit Das; Alessandro Epasto; Vahab Mirrokni (CoRR, 2025)

Differentially Private Synthetic Data Release for Topics API Outputs. - Travis Dick; Alessandro Epasto; Adel Javanmard; Josh Karlin; Andrés Muñoz Medina; Vahab Mirrokni; Sergei Vassilvitskii; Peilin Zhong (CoRR, 2025)