Distribution-free predictive inference for regression J Lei, M G’Sell, A Rinaldo, RJ Tibshirani, L Wasserman Journal of the American Statistical Association 113 (523), 1094-1111, 2018 | 784 | 2018 |
Consistency of spectral clustering in stochastic block models J Lei, A Rinaldo The Annals of Statistics, 215-237, 2015 | 728 | 2015 |
Confidence sets for persistence diagrams BT Fasy, F Lecci, A Rinaldo, L Wasserman, S Balakrishnan, A Singh | 346 | 2014 |
Consistency under sampling of exponential random graph models CR Shalizi, A Rinaldo Annals of statistics 41 (2), 508, 2013 | 249 | 2013 |
Properties and refinements of the fused lasso A Rinaldo | 221 | 2009 |
On the asymptotic properties of the group lasso estimator for linear models Y Nardi, A Rinaldo | 221 | 2008 |
Stochastic convergence of persistence landscapes and silhouettes F Chazal, BT Fasy, F Lecci, A Rinaldo, L Wasserman Proceedings of the thirtieth annual symposium on Computational geometry, 474-483, 2014 | 220 | 2014 |
Autoregressive process modeling via the lasso procedure Y Nardi, A Rinaldo Journal of Multivariate Analysis 102 (3), 528-549, 2011 | 178 | 2011 |
Generalized density clustering A Rinaldo, L Wasserman | 176 | 2010 |
Differential privacy for functions and functional data R Hall, A Rinaldo, L Wasserman The Journal of Machine Learning Research 14 (1), 703-727, 2013 | 172 | 2013 |
On the geometry of discrete exponential families with application to exponential random graph models A Rinaldo, SE Fienberg, Y Zhou | 169 | 2009 |
Robust topological inference: Distance to a measure and kernel distance B Fasy, F Lecci, L Wasserman Journal of Machine Learning Research 18 (159), 1-40, 2018 | 162 | 2018 |
Maximum lilkelihood estimation in the -model A Rinaldo, S Petrović, SE Fienberg | 142 | 2013 |
Subsampling methods for persistent homology F Chazal, B Fasy, F Lecci, B Michel, A Rinaldo, L Wasserman International Conference on Machine Learning, 2143-2151, 2015 | 138 | 2015 |
Maximum likelihood estimation in log-linear models SE Fienberg, A Rinaldo The Annals of Statistics, 996-1023, 2012 | 129 | 2012 |
Uniform asymptotic inference and the bootstrap after model selection RJ Tibshirani, A Rinaldo, R Tibshirani, L Wasserman | 125 | 2018 |
Random differential privacy R Hall, A Rinaldo, L Wasserman arXiv preprint arXiv:1112.2680, 2011 | 124 | 2011 |
Characterization of multilocus linkage disequilibrium A Rinaldo, SA Bacanu, B Devlin, V Sonpar, L Wasserman, K Roeder Genetic epidemiology 28 (3), 193-206, 2005 | 123 | 2005 |
Bootstrapping and sample splitting for high-dimensional, assumption-lean inference A Rinaldo, L Wasserman, M G’Sell | 119 | 2019 |
A conformal prediction approach to explore functional data J Lei, A Rinaldo, L Wasserman Annals of Mathematics and Artificial Intelligence 74, 29-43, 2015 | 118 | 2015 |