Didier Chételat
Didier Chételat
Ph.D. Candidate, Cornell University
Adresse e-mail validée de cornell.edu - Page d'accueil
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Exact combinatorial optimization with graph convolutional neural networks
M Gasse, D Chételat, N Ferroni, L Charlin, A Lodi
Advances in Neural Information Processing Systems, 15580-15592, 2019
332019
Improved multivariate normal mean estimation with unknown covariance when is greater than
D Chételat, MT Wells
The Annals of Statistics 40 (6), 3137-3160, 2012
162012
Optimal two-step prediction in regression
D Chételat, J Lederer, J Salmon
Electronic Journal of Statistics 11 (1), 2519-2546, 2017
102017
Improved second order estimation in the singular multivariate normal model
D Chételat, MT Wells
Journal of Multivariate Analysis 147, 1-19, 2016
32016
Noise estimation in the spiked covariance model
D Chételat, MT Wells
arXiv preprint arXiv:1408.6440, 2014
32014
The middle-scale asymptotics of Wishart matrices
D Chételat, MT Wells
The Annals of Statistics 47 (5), 2639-2670, 2019
22019
Change Point Detection by Cross-Entropy Maximization
A Serre, D Chételat, A Lodi
arXiv preprint arXiv:2009.01358, 2020
2020
On the domain of attraction of a Tracy–Widom law with applications to testing multiple largest roots
D Chételat, R Narayanan, MT Wells
Journal of Multivariate Analysis 165, 132-142, 2018
2018
High-Dimensional Inference By Unbiased Risk Estimation
D Chetelat
2015
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Supplementary Materials
M Gasse, D Chételat, N Ferroni, L Charlin, HEC Mila, A Lodi
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