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Alessandro Rinaldo
Alessandro Rinaldo
The University of Texas at Austin
Bestätigte E-Mail-Adresse bei austin.utexas.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
9162018
Consistency of spectral clustering in stochastic block models
J Lei, A Rinaldo
The Annals of Statistics, 215-237, 2015
7682015
Confidence sets for persistence diagrams
BT Fasy, F Lecci, A Rinaldo, L Wasserman, S Balakrishnan, A Singh
3662014
Consistency under sampling of exponential random graph models
CR Shalizi, A Rinaldo
Annals of statistics 41 (2), 508, 2013
2542013
Properties and refinements of the fused lasso
A Rinaldo
2302009
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
2292014
On the asymptotic properties of the group lasso estimator for linear models
Y Nardi, A Rinaldo
2262008
Differential privacy for functions and functional data
R Hall, A Rinaldo, L Wasserman
The Journal of Machine Learning Research 14 (1), 703-727, 2013
1842013
Autoregressive process modeling via the lasso procedure
Y Nardi, A Rinaldo
Journal of Multivariate Analysis 102 (3), 528-549, 2011
1822011
Generalized density clustering
A Rinaldo, L Wasserman
1812010
On the geometry of discrete exponential families with application to exponential random graph models
A Rinaldo, SE Fienberg, Y Zhou
1702009
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
1682018
Maximum lilkelihood estimation in the -model
A Rinaldo, S Petrović, SE Fienberg
1462013
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
1432015
A conformal prediction approach to explore functional data
J Lei, A Rinaldo, L Wasserman
Annals of Mathematics and Artificial Intelligence 74, 29-43, 2015
1322015
Maximum likelihood estimation in log-linear models
SE Fienberg, A Rinaldo
The Annals of Statistics, 996-1023, 2012
1322012
Bootstrapping and sample splitting for high-dimensional, assumption-lean inference
A Rinaldo, L Wasserman, M G’Sell
1312019
Uniform asymptotic inference and the bootstrap after model selection
RJ Tibshirani, A Rinaldo, R Tibshirani, L Wasserman
1312018
Random differential privacy
R Hall, A Rinaldo, L Wasserman
arXiv preprint arXiv:1112.2680, 2011
1262011
Characterization of multilocus linkage disequilibrium
A Rinaldo, SA Bacanu, B Devlin, V Sonpar, L Wasserman, K Roeder
Genetic epidemiology 28 (3), 193-206, 2005
1232005
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