Cécile Haberstich

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All published works

Action	Title	Year	Authors
+ PDF Chat	Active Learning of Tree Tensor Networks using Optimal Least Squares	2023	Cécile Haberstich Anthony Nouy Guillaume Perrin
+	Boosted optimal weighted least-squares	2021	Cécile Haberstich Anthony Nouy Guillaume Perrin
+	Active learning of tree tensor networks using optimal least-squares	2021	Cécile Haberstich Anthony Nouy Guillaume Perrin
+	Boosted optimal weighted least-squares.	2019	Cécile Haberstich Anthony Nouy Guillaume Perrin
+	Principal component analysis and optimal weighted least-squares method for training tree tensor networks	2018	Cécile Haberstich Anthony Nouy Guillaume Perrin

Common Coauthors

Coauthor	Papers Together
Guillaume Perrin	5
Anthony Nouy	3
Anthony Nouy	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation	2018	Ling Guo Akil Narayan Liang Yan Tao Tang	2
+ PDF Chat	Some Modified Matrix Eigenvalue Problems	1973	Gene H. Golub	2
+ PDF Chat	Computing Multivariate Fekete and Leja Points by Numerical Linear Algebra	2010	Len Bos Stefano De Marchı Alvise Sommariva Michelangelo Vianello	2
+	A Christoffel function weighted least squares algorithm for collocation approximations	2016	Akil Narayan John Jakeman Tao Tang	2
+ PDF Chat	Refined Perturbation Bounds for Eigenvalues of Hermitian and Non-Hermitian Matrices	2009	Ilse C. F. Ipsen Boaz Nadler	2
+ PDF Chat	On the Stability and Accuracy of Least Squares Approximations	2013	Albert Cohen Mark A. Davenport D. Leviatan	2
+	Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points	2015	Giovanni Migliorati Fabio Nobile Raúl Tempone	2
+ PDF Chat	Optimal weighted least-squares methods	2017	Albert Cohen Giovanni Migliorati	2
+ PDF Chat	Adaptive Approximation by Optimal Weighted Least-Squares Methods	2019	Giovanni Migliorati	2
+	Computing approximate Fekete points by QR factorizations of Vandermonde matrices	2009	Alvise Sommariva Marco Vianello	2
+ PDF Chat	Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression	2015	Jerrad Hampton Alireza Doostan	2
+	Tensor Networks and Hierarchical Tensors for the Solution of High-Dimensional Partial Differential Equations	2016	Markus Bachmayr Reinhold Schneider André Uschmajew	1
+	Supervised Learning with Quantum-Inspired Tensor Networks	2016	E. Miles Stoudenmire David J. Schwab	1
+ PDF Chat	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	1
+ PDF Chat	A new method for reconstruction of cross-sections using Tucker decomposition	2017	Thi Hieu Luu Yvon Maday M. Guillo Pierre Guérin	1
+ PDF Chat	Tree-based tensor formats	2018	Antonio Falcó Wolfgang Hackbusch Anthony Nouy	1
+	Learning with tree-based tensor formats	2018	Erwan Grelier Anthony Nouy Mathilde Chevreuil	1
+ PDF Chat	Adaptive Leja Sparse Grid Constructions for Stochastic Collocation and High-Dimensional Approximation	2014	Akil Narayan John Jakeman	1
+	On the Expressive Power of Deep Learning: A Tensor Analysis	2015	Nadav Cohen Or Sharir Amnon Shashua	1
+	A continuous analogue of the tensor-train decomposition	2018	Alex Gorodetsky Sertaç Karaman Youssef Marzouk	1
+ PDF Chat	High-probability bounds for the reconstruction error of PCA	2020	Cassandra Milbradt Martin Wahl	1
+ PDF Chat	LEARNING HIGH-DIMENSIONAL PROBABILITY DISTRIBUTIONS USING TREE TENSOR NETWORKS	2022	Erwan Grelier Anthony Nouy Régis Lebrun	1
+ PDF Chat	Learning with tree tensor networks: Complexity estimates and model selection	2022	Bertrand Michel Anthony Nouy	1
+	Adaptive Tensor Learning with Tensor Networks	2020	Meraj Hashemizadeh Meilin Liu Jacob Miller Guillaume Rabusseau	1
+ PDF Chat	User-Friendly Tail Bounds for Sums of Random Matrices	2011	Joel A. Tropp	1
+ PDF Chat	Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats	2019	Anthony Nouy	1
+	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	1
+ PDF Chat	A New Upper Bound for Sampling Numbers	2021	Nicolas Nagel Martin Jörg Schäfer Tino Ullrich	1
+ PDF Chat	Optimal pointwise sampling for L2 approximation	2021	Matthieu Dolbeault Albert Cohen	1
+ PDF Chat	Analysis of Tensor Approximation Schemes for Continuous Functions	2021	Michael Griebel Helmut Harbrecht	1
+ PDF Chat	Slice sampling	2003	Radford M. Neal	1
+	Low-Rank Tensor Methods for Model Order Reduction	2017	Anthony Nouy	1
+	Ramanujan Graphs and the Solution of the Kadison-Singer Problem	2014	Adam W. Marcus Daniel A. Spielman Nikhil Srivastava	1
+ PDF Chat	Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions	2023	Mazen Ali Anthony Nouy	1
+	Black box approximation of tensors in hierarchical Tucker format	2011	Jonas Ballani Lars Grasedyck Melanie Kluge	1
+ PDF Chat	Tree Adaptive Approximation in the Hierarchical Tensor Format	2014	Jonas Ballani Lars Grasedyck	1
+	TT-cross approximation for multidimensional arrays	2009	Ivan Oseledets Eugene E. Tyrtyshnikov	1
+	Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems	2014	Daniel Kreßner Michael Steinlechner André Uschmajew	1
+	Rank-one modification of the symmetric eigenproblem	1978	James R. Bunch Christopher P. Nielsen Danny C. Sorensen	1
+ PDF Chat	A Multilinear Singular Value Decomposition	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	1
+ PDF Chat	Hierarchical Singular Value Decomposition of Tensors	2010	Lars Grasedyck	1
+	Lower bounds for the largest eigenvalue of a symmetric matrix under perturbations of rank one	2011	Jacques Bénasséni	1
+	Approximation rates for the hierarchical tensor format in periodic Sobolev spaces	2013	Reinhold Schneider André Uschmajew	1
+ PDF Chat	Hyperbolic Cross Approximation	2018	Đinh Dũng Vladimir Temlyakov Tino Ullrich	1