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Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

4 February 2020

Papers citing "Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark"

21 / 21 papers shown

Title
Stochastic spectral embedding S. Marelli Paul Wagner C. Lataniotis Bruno Sudret 56 23 0 09 Apr 2020
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines Panagiotis Tsilifis I. Papaioannou D. Štraub F. Nobile 104 18 0 23 Dec 2019
Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions Xujia Zhu Bruno Sudret 50 31 0 20 Nov 2019
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach C. Lataniotis S. Marelli Bruno Sudret 45 67 0 15 Dec 2018
Surrogate modeling based on resampled polynomial chaos expansions Z. Liu D. Lesselier Bruno Sudret J. Wiart 34 40 0 22 Oct 2018
Compressive sensing adaptation for polynomial chaos expansions Panagiotis Tsilifis Xun Huan Cosmin Safta K. Sargsyan G. Lacaze J. Oefelein H. Najm R. Ghanem 46 58 0 06 Jan 2018
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design Paul Diaz Alireza Doostan Jerrad Hampton 50 100 0 29 Dec 2017
A preconditioning approach for improved estimation of sparse polynomial chaos expansions Negin Alemazkoor Hadi Meidani 36 9 0 22 Sep 2017
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions Xun Huan Cosmin Safta K. Sargsyan Zachary P. Vane G. Lacaze J. Oefelein H. Najm 33 29 0 28 Jul 2017
Least Squares Polynomial Chaos Expansion: A Review of Sampling Strategies M. Hadigol Alireza Doostan 48 129 0 23 Jun 2017
A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos Expansions Negin Alemazkoor Hadi Meidani 30 20 0 25 Feb 2017
Basis Adaptive Sample Efficient Polynomial Chaos (BASE-PC) Jerrad Hampton Alireza Doostan 49 43 0 03 Feb 2017
Optimal weighted least-squares methods A. Cohen G. Migliorati 51 197 0 01 Aug 2016
Divide and Conquer: An Incremental Sparsity Promoting Compressive Sampling Approach for Polynomial Chaos Expansions Negin Alemazkoor Hadi Meidani 40 26 0 21 Jun 2016
Global sensitivity analysis using low-rank tensor approximations K. Konakli Bruno Sudret 41 78 0 29 May 2016
A survey of sparse representation: algorithms and applications Zheng Zhang Yong-mei Xu Jian Yang Xuelong Li David C. Zhang AI4TS 83 990 0 23 Feb 2016
Sequential Design for Ranking Response Surfaces Ruimeng Hu M. Ludkovski 50 26 0 03 Sep 2015
The generalization of Latin hypercube sampling Michael D. Shields Jiaxin Zhang 44 404 0 24 Jul 2015
Polynomial-Chaos-based Kriging R. Schöbi Bruno Sudret J. Wiart 67 271 0 13 Feb 2015
Coherence Motivated Sampling and Convergence Analysis of Least-Squares Polynomial Chaos Regression Jerrad Hampton Alireza Doostan 46 146 0 07 Oct 2014
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 215 5,041 0 10 Nov 2007