| False discovery rate control via debiased lasso A Javanmard, H Javadi | 74 | 2019 |
| The implicit regularization of ordinary least squares ensembles D LeJeune, H Javadi, R Baraniuk International Conference on Artificial Intelligence and Statistics, 3525-3535, 2020 | 54 | 2020 |
| Porcupine neural networks: Approximating neural network landscapes S Feizi, H Javadi, J Zhang, D Tse Advances in Neural Information Processing Systems 31, 2018 | 44* | 2018 |
| An instability in variational inference for topic models B Ghorbani, H Javadi, A Montanari International conference on machine learning, 2221-2231, 2019 | 42 | 2019 |
| Nonnegative matrix factorization via archetypal analysis H Javadi, A Montanari Journal of the American Statistical Association 115 (530), 896-907, 2020 | 31 | 2020 |
| Preconditioning via diagonal scaling R Takapoui, H Javadi arXiv preprint arXiv:1610.03871, 2016 | 27 | 2016 |
| Implicit rugosity regularization via data augmentation D LeJeune, R Balestriero, H Javadi, RG Baraniuk arXiv preprint arXiv:1905.11639, 2019 | 19 | 2019 |
| Parameters or privacy: A provable tradeoff between overparameterization and membership inference J Tan, B Mason, H Javadi, R Baraniuk Advances in Neural Information Processing Systems 35, 17488-17500, 2022 | 17 | 2022 |
| Tensor biclustering S Feizi, H Javadi, D Tse Advances in Neural Information Processing Systems 30, 2017 | 17 | 2017 |
| A blessing of dimensionality in membership inference through regularization J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk International Conference on Artificial Intelligence and Statistics, 10968-10993, 2023 | 16 | 2023 |
| Asymptotics of the sketched pseudoinverse D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani SIAM Journal on Mathematics of Data Science 6 (1), 199-225, 2024 | 11 | 2024 |
| Minipatch learning as implicit ridge-like regularization T Yao, D LeJeune, H Javadi, RG Baraniuk, GI Allen 2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021 | 10 | 2021 |
| The flip side of the reweighted coin: Duality of adaptive dropout and regularization D LeJeune, H Javadi, R Baraniuk Advances in Neural Information Processing Systems 34, 23401-23412, 2021 | 7 | 2021 |
| A statistical model for motifs detection H Javadi, A Montanari IEEE Transactions on Information Theory 64 (12), 7594-7612, 2018 | 6* | 2018 |
| Non-negative matrix factorization via archetypal analysis H Javadi, A Montanari arXiv preprint arXiv:1705.02994, 2017 | 5 | 2017 |
| A hessian based complexity measure for deep networks H Javadi, R Balestriero, R Baraniuk arXiv preprint arXiv:1905.11639, 2019 | 4 | 2019 |
| Benign Overparameterization in Membership Inference with Early Stopping. J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk arXiv preprint arXiv: 2205.14055, 2022 | 1 | 2022 |
| SUPPLEMENTARY MATERIALS: Asymptotics of the Sketched Pseudoinverse D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani | | |
| 2021 IEEE International Conference on Big Data and Smart Computing (BigComp)| 978-1-7281-8924-6/20/$31.00© 2021 IEEE| DOI: 10.1109/BigComp51126. 2021.00085 N Abbak, AB Abdallah, J Afshar, R Ahn, P Akkapusit, AA Aktas, ... | | |
| Douglas-Rachford Splitting for Cardinality Constrained Quadratic Programming E Busseti, H Javadi, R Takapoui | | |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice University在 rice.edu 的电子邮件经过验证
