| Strong rules for discarding predictors in lasso-type problems R Tibshirani, J Bien, J Friedman, T Hastie, N Simon, J Taylor, ... Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2012 | 786 | 2012 |
| A lasso for hierarchical interactions J Bien, J Taylor, R Tibshirani Annals of statistics 41 (3), 1111, 2013 | 632 | 2013 |
| Sparse estimation of a covariance matrix J Bien, RJ Tibshirani Biometrika 98 (4), 807-820, 2011 | 420 | 2011 |
| Prototype selection for interpretable classification J Bien, R Tibshirani | 379 | 2011 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 317* | 2022 |
| VARX-L: Structured regularization for large vector autoregressions with exogenous variables WB Nicholson, DS Matteson, J Bien International Journal of Forecasting 33 (3), 627-651, 2017 | 223 | 2017 |
| Hierarchical clustering with prototypes via minimax linkage J Bien, R Tibshirani Journal of the American Statistical Association 106 (495), 1075-1084, 2011 | 200 | 2011 |
| High dimensional forecasting via interpretable vector autoregression WB Nicholson, I Wilms, J Bien, DS Matteson Journal of Machine Learning Research 21 (166), 1-52, 2020 | 176 | 2020 |
| Selective inference for hierarchical clustering LL Gao, J Bien, D Witten Journal of the American Statistical Association 119 (545), 332-342, 2024 | 107 | 2024 |
| Sparse partially linear additive models Y Lou, J Bien, R Caruana, J Gehrke Journal of Computational and Graphical Statistics 25 (4), 1126-1140, 2016 | 76 | 2016 |
| Hierarchical sparse modeling: A choice of two group lasso formulations X Yan, J Bien | 60 | 2017 |
| CUR from a sparse optimization viewpoint J Bien, Y Xu, MW Mahoney Advances in Neural Information Processing Systems 23, 2010 | 60 | 2010 |
| An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences 118 (51), e2111452118, 2021 | 59 | 2021 |
| rTensor: An R package for multidimensional array (tensor) unfolding, multiplication, and decomposition J Li, J Bien, MT Wells Journal of Statistical Software 87, 1-31, 2018 | 59* | 2018 |
| Valid inference corrected for outlier removal S Chen, J Bien Journal of Computational and Graphical Statistics 29 (2), 323-334, 2020 | 56 | 2020 |
| Rare feature selection in high dimensions X Yan, J Bien Journal of the American Statistical Association 116 (534), 887-900, 2021 | 52 | 2021 |
| Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction? DJ McDonald, J Bien, A Green, AJ Hu, N DeFries, S Hyun, NL Oliveira, ... Proceedings of the National Academy of Sciences 118 (51), e2111453118, 2021 | 50 | 2021 |
| Convex banding of the covariance matrix J Bien, F Bunea, L Xiao Journal of the American Statistical Association 111 (514), 834-845, 2016 | 47 | 2016 |
| Estimating the error variance in a high-dimensional linear model G Yu, J Bien Biometrika 106 (3), 533-546, 2019 | 46 | 2019 |
| Measuring improvement in user search performance resulting from optimal search tips N Moraveji, D Russell, J Bien, D Mease Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 44 | 2011 |
