| Year |
Citation |
Score |
| 2020 |
Ghosh S, Rigollet P. Gaussian determinantal processes: A new model for directionality in data. Proceedings of the National Academy of Sciences of the United States of America. PMID 32482857 DOI: 10.1073/Pnas.1917151117 |
0.322 |
|
| 2020 |
Hütter J, Mao C, Rigollet P, Robeva E. Optimal rates for estimation of two-dimensional totally positive distributions Electronic Journal of Statistics. 14: 2600-2652. DOI: 10.1214/20-Ejs1729 |
0.307 |
|
| 2019 |
Flammarion N, Mao C, Rigollet P. Optimal rates of statistical seriation Bernoulli. 25: 623-653. DOI: 10.3150/17-Bej1000 |
0.409 |
|
| 2019 |
Berthet Q, Rigollet P, Srivastava P. Exact recovery in the Ising blockmodel The Annals of Statistics. 47: 1805-1834. DOI: 10.1214/17-Aos1620 |
0.593 |
|
| 2019 |
Rigollet P, Weed J. Uncoupled isotonic regression via minimum Wasserstein deconvolution Information and Inference: a Journal of the Ima. 8: 691-717. DOI: 10.1093/Imaiai/Iaz006 |
0.325 |
|
| 2018 |
Rigollet P, Weed J. Entropic optimal transport is maximum-likelihood deconvolution Comptes Rendus Mathematique. 356: 1228-1235. DOI: 10.1016/J.Crma.2018.10.010 |
0.311 |
|
| 2016 |
Perchet V, Rigollet P, Chassang S, Snowberg E. Batched bandit problems Annals of Statistics. 44: 660-681. DOI: 10.1214/15-Aos1381 |
0.327 |
|
| 2015 |
Fan J, Rigollet P, Wang W. ESTIMATION OF FUNCTIONALS OF SPARSE COVARIANCE MATRICES. Annals of Statistics. 43: 2706-2737. PMID 26806986 DOI: 10.1214/15-Aos1357 |
0.379 |
|
| 2015 |
Rigollet P. Comment on “hypothesis testing by convex optimization” Electronic Journal of Statistics. 9: 1723-1726. DOI: 10.1214/15-Ejs998 |
0.384 |
|
| 2014 |
Dai D, Rigollet P, Xia L, Zhang T. Aggregation of affine estimators Electronic Journal of Statistics. 8: 302-327. DOI: 10.1214/14-Ejs886 |
0.346 |
|
| 2014 |
Lecué G, Rigollet P. Optimal learning with Q-aggregation The Annals of Statistics. 42: 211-224. DOI: 10.1214/13-Aos1190 |
0.349 |
|
| 2013 |
Berthet Q, Rigollet P. Optimal detection of sparse principal components in high dimension Annals of Statistics. 41: 1780-1815. DOI: 10.1214/13-Aos1127 |
0.642 |
|
| 2013 |
Berthet Q, Rigollet P. Complexity theoretic lower bounds for sparse principal component detection Journal of Machine Learning Research. 30: 1046-1066. |
0.65 |
|
| 2012 |
Rigollet P, Tsybakov AB. Sparse estimation by exponential weighting Statistical Science. 27: 558-575. DOI: 10.1214/12-Sts393 |
0.356 |
|
| 2012 |
Dai D, Rigollet P, Zhang T. Deviation optimal learning using greedy q-aggregation Annals of Statistics. 40: 1878-1905. DOI: 10.1214/12-Aos1025 |
0.378 |
|
| 2012 |
Rigollet P. Kullback-leibler aggregation and misspecified generalized linear models1 Annals of Statistics. 40: 639-665. DOI: 10.1214/11-Aos961 |
0.394 |
|
| 2011 |
Rigollet P, Tsybakov A. Exponential screening and optimal rates of sparse estimation Annals of Statistics. 39: 731-771. DOI: 10.1214/10-Aos854 |
0.404 |
|
| 2009 |
Rigollet P, Vert R. Optimal rates for plug-in estimators of density level sets Bernoulli. 15: 1154-1178. DOI: 10.3150/09-Bej184 |
0.334 |
|
| 2008 |
Juditsky A, Rigollet P, Tsybakov AB. Learning by mirror averaging Annals of Statistics. 36: 2183-2206. DOI: 10.1214/07-Aos546 |
0.367 |
|
| 2007 |
Rigollet P, Tsybakov AB. Linear and convex aggregation of density estimators Mathematical Methods of Statistics. 16: 260-280. DOI: 10.3103/S1066530707030052 |
0.359 |
|
| 2006 |
Rigollet P. Adaptive density estimation using the blockwise Stein method Bernoulli. 12: 351-370. DOI: 10.3150/Bj/1145993978 |
0.343 |
|
| 2005 |
Rigollet P. Oracle inequalities for probability density estimations Comptes Rendus Mathematique. 340: 59-62. DOI: 10.1016/J.Crma.2004.11.009 |
0.337 |
|
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