Mohamed Jebalia

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All published works

Action	Title	Year	Authors
+	A multivariate Jacobi polynomials regression estimator associated with an ANOVA decomposition model	2024	Mohamed Jebalia Abderrazek Karoui
+	A Stable Jacobi polynomials based least squares regression estimator associated with an ANOVA decomposition model	2022	Mohamed Jebalia Abderrazek Karoui
+	Log-Linear Convergence and Optimal Bounds for the (1 + 1)-ES	2008	Mohamed Jebalia Anne Auger Pierre Liardet
+	On the convergence of the $(1+1)$-ES in noisy spherical environments	2007	Mohamed Jebalia Anne Auger
+	Identification of the Isotherm Function in Chromatography Using CMA-ES	2007	Mohamed Jebalia Anne Auger Marc Schoenauer François James Marie Postel
+	Identification of the Isotherm Function in Chromatography Using CMA-ES	2007	Mohamed Jebalia Anne Auger Marc Schoenauer François James Marie Postel
+	New Results - Inverse problems	2004	Antoine Cornuéjols Mohamed Jebalia Matthieu Pierres Marc Schoenauer Michèle Sébag Vijay Pratap Singh

Common Coauthors

Coauthor	Papers Together
Anne Auger	4
Marc Schoenauer	3
François James	2
Abderrazek Karoui	2
Marie Postel	2
Michèle Sébag	1
Pierre Liardet	1
Vijay Pratap Singh	1
Matthieu Pierres	1
Antoine Cornuéjols	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Distribution-Free Theory of Nonparametric Regression	2002	László Györfi Michael Köhler Adam Krzyżak Harro Walk	1
+ PDF Chat	Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression	2015	Jerrad Hampton Alireza Doostan	1
+ PDF Chat	Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies	2014	Jerrad Hampton Alireza Doostan	1
+ PDF Chat	Learning Theory Estimates via Integral Operators and Their Approximations	2007	Steve Smale Ding‐Xuan Zhou	1
+	Convergence results for the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mi>λ</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math>-SA-ES using the theory of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" overflow="scroll"><mml:mi>ϕ</mml:mi></mml:math>-irreducible Markov chains	2005	Anne Auger	1
+ PDF Chat	On the Stability and Accuracy of Least Squares Approximations	2013	Albert Cohen Mark A. Davenport D. Leviatan	1
+	Polynomial splines and nonparametric regression	1991	Hung Chen	1
+ PDF Chat	Enhancing<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>-minimization estimates of polynomial chaos expansions using basis selection	2015	John Jakeman Michael Eldred Khachik Sargsyan	1
+ PDF Chat	Optimal Global Rates of Convergence for Nonparametric Regression	1982	Charles J. Stone	1
+	Global convergence for evolution strategies in spherical problems: some simple proofs and difficulties	2003	Alexis Bienvenüe Olivier François	1
+ PDF Chat	Tensor product space ANOVA models	2000	Yi Lin	1
+ PDF Chat	Projection estimation in multiple regression with application to functional ANOVA models	1998	Jianhua Z. Huang	1
+	Inequalities for the gamma function	2008	Necdet Batır	1
+	Diophantine equations with truncated binomial polynomials	2015	Artūras Dubickas Dijana Kreso	1
+	On orthogonal polynomials	1975	P. Túrán	1
+ PDF Chat	Hyperbolic systems of conservation laws	2006	Peter D. Lax	1
+ PDF Chat	On a near optimal sampling strategy for least squares polynomial regression	2016	Yeonjong Shin Dongbin Xiu	1
+	Least squares polynomial chaos expansion: A review of sampling strategies	2017	Mohammad Hadigol Alireza Doostan	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+ PDF Chat	Regression function estimation as a partly inverse problem	2019	Fabienne Comte Valentine Genon‐Catalot	1
+ PDF Chat	Data-driven polynomial chaos expansion for machine learning regression	2019	Emiliano Torre Stefano Marelli Paul Embrechts Bruno Sudret	1
+ PDF Chat	Polynomial chaos expansions for dependent random variables	2019	John Jakeman Fabian Franzelin Akil Narayan Michael Eldred Dirk Plfüger	1
+	On deep learning as a remedy for the curse of dimensionality in nonparametric regression	2019	Benedikt Bauer Michael Köhler	1
+	A Christoffel function weighted least squares algorithm for collocation approximations	2016	Akil Narayan John Jakeman Tao Tang	1
+ PDF Chat	A Generalized Sampling Theorem for Stable Reconstructions in Arbitrary Bases	2012	Ben Adcock Anders C. Hansen	1
+ PDF Chat	Optimal weighted least-squares methods	2017	Albert Cohen Giovanni Migliorati	1
+ PDF Chat	Approximate optimal designs for multivariate polynomial regression	2018	Yohann de Castro Fabrice Gamboa Didier Henrion Roxana Heß Jean B. Lasserre	1
+ PDF Chat	Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models	2019	Alexander O. Tarakanov Ahmed H. Elsheikh	1
+ PDF Chat	Constructing Least-Squares Polynomial Approximations	2020	Ling Guo Akil Narayan Tao Tang	1
+ PDF Chat	Robust adaptive least squares polynomial chaos expansions in high‐frequency applications	2020	Dimitrios Loukrezis Armin Galetzka Herbert De Gersem	1
+	An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces	2021	Tianyu Zhang Noah Simon	1
+ PDF Chat	Approximation of High-Dimensional Periodic Functions with Fourier-Based Methods	2021	Daniel Potts Michael Schmischke	1
+	Special Functions	1999	George E. Andrews Richard Askey Ranjan Roy	1
+ PDF Chat	A Distribution Free Truncated Kernel Ridge Regression Estimator and Related Spectral Analyses	2023	Asma Ben Saber Abderrazek Karoui	1