El Houcine Bergou

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All published works

Action	Title	Year	Authors
+ PDF Chat	EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums	2024	Abdoul Amadou Anas Motii Saida Elouardi El Houcine Bergou
+ PDF Chat	A Stochastic Iteratively Regularized Gauss-Newton Method	2024	El Houcine Bergou Neil K. Chada Youssef Diouane
+ PDF Chat	Energy Efficient Aerial RIS: Phase Shift Optimization and Trajectory Design	2024	Hajar El Hammouti Adnane Saoud Asma Ennahkami El Houcine Bergou
+ PDF Chat	A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems	2024	El Houcine Bergou Soumia Boucherouite Aritra Dutta Xin Li Anna Ma
+ PDF Chat	Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation	2024	Ouiame Marnissi Hajar El Hammouti El Houcine Bergou
+ PDF Chat	Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization	2024	Mouhamed Naby Ndiaye El Houcine Bergou Hajar El Hammouti
+ PDF Chat	Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization	2024	Soumia Boucherouite Grigory Malinovsky Peter Richtárik El Houcine Bergou
+ PDF Chat	Client selection in federated learning based on gradients importance	2024	Ouiame Marnissi Hajar El Hammouti El Houcine Bergou
+	Joint Probability Selection and Power Allocation for Federated Learning	2024	Ouiame Marnissi Hajar El Hammouti El Houcine Bergou
+	Semantic-Aware Resource Allocation in Constrained Networks with Limited User Participation	2024	Ouiame Marnissi Hajar El Hammouti El Houcine Bergou
+ PDF Chat	Joint Probability Selection and Power Allocation for Federated Learning	2023	Ouiame Marnissi Hajar El Hammouti El Houcine Bergou
+ PDF Chat	Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks	2023	Mouhamed Naby Ndiaye El Houcine Bergou Hajar El Hammouti
+ PDF Chat	Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks	2023	Mouhamed Naby Ndiaye El Houcine Bergou Hajar El Hammouti
+	Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks	2023	Mouhamed Naby Ndiaye El Houcine Bergou Hajar El Hammouti
+	A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems	2023	El Houcine Bergou Soumia Boucherouite Aritra Dutta Xin Li Anna Ma
+	Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks	2023	Mouhamed Naby Ndiaye El Houcine Bergou Hajar El Hammouti
+	Demystifying the Myths and Legends of Nonconvex Convergence of SGD	2023	Aritra Dutta El Houcine Bergou Soumia Boucherouite Nicklas Werge Melih Kandemir Xin Li
+	Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization	2023	Mouhamed Naby Ndiaye El Houcine Bergou Hajar El Hammouti
+ PDF Chat	Age-of-Updates Optimization for UAV-assisted Networks	2022	Mouhamed Naby Ndiaye El Houcine Bergou Mounir Ghogho Hajar El Hammouti
+	A Subsampling Line-Search Method with Second-Order Results	2022	El Houcine Bergou Youssef Diouane Vladimír Kunc Vyacheslav Kungurtsev Clément W. Royer
+ PDF Chat	A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results	2022	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev Clément W. Royer
+	Direct nonlinear acceleration	2022	Aritra Dutta El Houcine Bergou Yunming Xiao Marco Canini Peter Richtárik
+	Personalized Federated Learning with Communication Compression	2022	El Houcine Bergou Konstantin Burlachenko Aritra Dutta Peter Richtárik
+	Age-of-Updates Optimization for UAV-assisted Networks	2022	Mouhamed Naby Ndiaye El Houcine Bergou Mounir Ghogho Hajar El Hammouti
+	Linear Scalarization for Byzantine-robust learning on non-IID data	2022	Latifa Errami El Houcine Bergou
+	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems	2021	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev Clément W. Royer
+	Client Selection in Federated Learning based on Gradients Importance	2021	Ouiame Marnissi Hajar El Hammouti El Houcine Bergou
+	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems.	2020	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev Clément W. Royer
+ PDF Chat	Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems	2020	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev
+	A Stochastic Derivative Free Optimization Method with Momentum	2020	Eduard Gorbunov Adel Bibi Ozan Şener El Houcine Bergou Peter Richtárik
+ PDF Chat	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning	2020	Aritra Dutta El Houcine Bergou Ahmed M. Abdelmoniem Chen-Yu Ho Atal Narayan Sahu Marco Canini Panos Kalnis
+ PDF Chat	A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control	2020	Adel Bibi El Houcine Bergou Ozan Şener Bernard Ghanem Peter Richtárik
+	Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems	2020	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev
+	Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure	2020	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev
+ PDF Chat	Stochastic Three Points Method for Unconstrained Smooth Minimization	2020	El Houcine Bergou Eduard Gorbunov Peter Richtárik
+	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems	2020	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev Clément W. Royer
+	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning	2019	Aritra Dutta El Houcine Bergou Ahmed M. Abdelmoniem Chen-Yu Ho Atal Narayan Sahu Marco Canini Panos Kalnis
+	A Stochastic Derivative Free Optimization Method with Momentum	2019	Eduard Gorbunov Adel Bibi Ozan Şener El Houcine Bergou Peter Richtárik
+	Stochastic Three Points Method for Unconstrained Smooth Minimization	2019	El Houcine Bergou Eduard Gorbunov Peter Richtárik
+	A Stochastic Derivative-Free Optimization Method with Importance Sampling	2019	Adel Bibi El Houcine Bergou Ozan Şener Bernard Ghanem Peter Richtárik
+	A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control	2019	Adel Bibi El Houcine Bergou Ozan Şener Bernard Ghanem Peter Richtárik
+	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning	2019	Aritra Dutta El Houcine Bergou Ahmed M. Abdelmoniem Chen-Yu Ho Atal Narayan Sahu Marco Canini Panos Kalnis
+	A Stochastic Derivative Free Optimization Method with Momentum	2019	Eduard Gorbunov Adel Bibi Ozan Şener El Houcine Bergou Peter Richtárik
+	Stochastic Three Points Method for Unconstrained Smooth Minimization	2019	El Houcine Bergou Eduard Gorbunov Peter Richtárik
+	A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control	2019	Adel Bibi El Houcine Bergou Ozan Şener Bernard Ghanem Peter Richtárik
+	Direct Nonlinear Acceleration	2019	Aritra Dutta El Houcine Bergou Yunming Xiao Marco Canini Peter Richtárik
+ PDF Chat	On the convergence of a non-linear ensemble Kalman smoother	2018	El Houcine Bergou Xavier Vasseur Jan Mandel
+ PDF Chat	A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis	2018	El Houcine Bergou Youssef Diouane Serge Gratton
+	A Stochastic Levenberg-Marquardt Method Using Random Models with Application to Data Assimilation	2018	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev Clément W. Royer
+	A stochastic Levenberg-Marquardt method using random models with complexity results and application to data assimilation	2018	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev Clément W. Royer
+	A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis	2018	El Houcine Bergou Youssef Diouane Serge Gratton
+	A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis	2018	El Houcine Bergou Youssef Diouane Serge Gratton
+ PDF Chat	On the use of the energy norm in trust-region and adaptive cubic regularization subproblems	2017	El Houcine Bergou Youssef Diouane Xavier Vasseur
+ PDF Chat	Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method	2016	Jan Mandel El Houcine Bergou Selime Gürol Xavier Vasseur Ivan Kasanický
+	Numerical methods for least squares problems with application to data assimilation	2014	El Houcine Bergou
+	Méthodes numériques pour les problèmes des moindres carrés, avec application à l'assimilation de données	2014	El Houcine Bergou
+ PDF Chat	The Exact Condition Number of the Truncated Singular Value Solution of a Linear Ill-Posed Problem	2014	El Houcine Bergou Serge Gratton J. Tshimanga

Common Coauthors

Coauthor	Papers Together
Hajar El Hammouti	15
Youssef Diouane	15
Peter Richtárik	14
Vyacheslav Kungurtsev	10
Aritra Dutta	9
Mouhamed Naby Ndiaye	8
Clément W. Royer	7
Ozan Şener	7
Adel Bibi	7
Eduard Gorbunov	6
Ouiame Marnissi	6
Marco Canini	5
Bernard Ghanem	4
Serge Gratton	4
Soumia Boucherouite	4
Atal Narayan Sahu	3
Panos Kalnis	3
Xavier Vasseur	3
Chen-Yu Ho	3
Ahmed M. Abdelmoniem	3
Anna Ma	2
Jan Mandel	2
Yunming Xiao	2
Mounir Ghogho	2
Saida Elouardi	1
Nicklas Werge	1
Konstantin Burlachenko	1
Vladimír Kunc	1
Selime Gürol	1
Grigory Malinovsky	1
Melih Kandemir	1
Anas Motii	1
Adnane Saoud	1
J. Tshimanga	1
Ivan Kasanický	1
Neil K. Chada	1
Xin Li	1
Xin Li	1
Xin Li	1
Asma Ennahkami	1
Abdoul Amadou	1
Latifa Errami	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Introduction to Derivative-Free Optimization	2009	Andrew R. Conn Katya Scheinberg L. N. Vicente	8
+ PDF Chat	Benchmarking optimization software with performance profiles	2002	Elizabeth D. Dolan Jorge J. Morè	8
+	Random Gradient-Free Minimization of Convex Functions	2015	Yurii Nesterov Vladimir Spokoiny	7
+	Inverse Problem Theory and Methods for Model Parameter Estimation	2005	Albert Tarantola	6
+	Convergence estimates for iterative minimization methods	1974	V.G. Karmanov	6
+ PDF Chat	Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods	2003	Tamara G. Kolda Robert Michael Lewis Virginia Torczon	6
+	Worst case complexity of direct search	2012	L. N. Vicente	6
+	Optimization Methods for Large-Scale Machine Learning	2018	Léon Bottou Frank E. Curtis Jorge Nocedal	6
+ PDF Chat	Direct Search Based on Probabilistic Descent	2015	Serge Gratton Clément W. Royer L. N. Vicente Zaikun Zhang	6
+ PDF Chat	Nonlinear least squares — the Levenberg algorithm revisited	1976	M. R. Osborne	6
+	A derivative-free nonmonotone line-search technique for unconstrained optimization	2007	M. A. Diniz-Ehrhardt J. M. Martı́nez Marcos Raydan	6
+ PDF Chat	Stochastic Three Points Method for Unconstrained Smooth Minimization	2020	El Houcine Bergou Eduard Gorbunov Peter Richtárik	5
+	A strategy for operational implementation of 4D‐Var, using an incremental approach	1994	Philippe Courtier Jean‐Noël Thépaut A. Hollingsworth	5
+	A method for the solution of certain non-linear problems in least squares	1944	Kenneth Levenberg	5
+ PDF Chat	Testing Unconstrained Optimization Software	1981	Jorge J. Morè B. S. Garbow K. E. Hillstrom	5
+	On Convergence of a Random Search Method in Convex Minimization Problems	1975	V.G. Karmanov	5
+	Stochastic Optimization with Importance Sampling for Regularized Loss Minimization	2015	Peilin Zhao Tong Zhang	4
+ PDF Chat	Optimization of Convex Functions with Random Pursuit	2013	Sebastian U. Stich Christian L. Müller Bernd Gärtner	4
+ PDF Chat	Convergence of Trust-Region Methods Based on Probabilistic Models	2014	Afonso S. Bandeira Katya Scheinberg L. N. Vicente	4
+	Stochastic derivative-free optimization of noisy functions	2015	Ruobing Chen	4
+ PDF Chat	Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming	2013	Saeed Ghadimi Guanghui Lan	4
+	Global complexity bound of the Levenberg–Marquardt method	2016	Ruixue Zhao Jinyan Fan	4
+	Convergence Rate Analysis of a Stochastic Trust Region Method for Nonconvex Optimization	2016	José Blanchet Coralia Cartis Matt Menickelly Katya Scheinberg	4
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	4
+ PDF Chat	On optimal probabilities in stochastic coordinate descent methods	2015	Peter Richtárik Martin Takáč	4
+ PDF Chat	An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization	2022	Eduard Gorbunov Pavel Dvurechensky Alexander Gasnikov	4
+ PDF Chat	Worst case complexity of direct search under convexity	2014	Mahdi Dodangeh L. N. Vicente	3
+	Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity	2010	Coralia Cartis Nicholas I. M. Gould Philippe L. Toint	3
+	Some methods of speeding up the convergence of iteration methods	1964	B. T. Polyak	3
+	Trust Region Methods	2000	Andrew R. Conn Nicholas I. M. Gould Philippe L. Toint	3
+ PDF Chat	Derivative-free optimization methods	2019	Jeffrey Larson Matt Menickelly Stefan M. Wild	3
+ PDF Chat	Age-of-Updates Optimization for UAV-assisted Networks	2022	Mouhamed Naby Ndiaye El Houcine Bergou Mounir Ghogho Hajar El Hammouti	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems	2020	El Houcine Bergou Youssef Diouane Vyacheslav Kungurtsev	3
+ PDF Chat	Stochastic optimization using a trust-region method and random models	2017	Reuven Chen Matt Menickelly Katya Scheinberg	3
+	Simple random search provides a competitive approach to reinforcement learning	2018	Horia Mania Aurelia Guy Benjamin Recht	3
+	Stochastic Three Points Method for Unconstrained Smooth Minimization	2019	El Houcine Bergou Eduard Gorbunov Peter Richtárik	3
+	Perturbation Analysis of Optimization Problems	2000	J. Frédéric Bonnans Alexander Shapiro	3
+ PDF Chat	Stochastic derivative-free optimization using a trust region framework	2016	Jeffrey Larson Stephen C. Billups	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	A unified local convergence analysis of inexact constrained Levenberg–Marquardt methods	2011	Roger Behling Andreas Fischer	2
+	On the local convergence of a derivative-free algorithm for least-squares minimization	2010	Hongchao Zhang Andrew R. Conn	2
+ PDF Chat	Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results	2009	Coralia Cartis Nicholas I. M. Gould Philippe L. Toint	2
+	Convergence Properties of the Inexact Levenberg-Marquardt Method under Local Error Bound Conditions	2002	Hiroshige Dan Nobuo Yamashita Masao Fukushima	2
+ PDF Chat	Analysis of Inexact Trust-Region SQP Algorithms	2002	Matthias Heinkenschloss L. N. Vicente	2
+ PDF Chat	Deterministic Nonperiodic Flow	1963	Edward N. Lorenz	2
+	Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function	2003	Michael Ulbrich Stefan Ulbrich	2
+ PDF Chat	Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization	2014	Saeed Ghadimi Guanghui Lan Hongchao Zhang	2
+ PDF Chat	Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization	2012	Afonso S. Bandeira Katya Scheinberg L. N. Vicente	2
+ PDF Chat	GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization	2003	Nicholas I. M. Gould Dominique Orban Philippe L. Toint	2