Patrick L. Combettes

116 papers B 6Misc 16Journal 66Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lower bounds on the Haraux function.
J. Approx. Theory
Patrick L. Combettes, Julien N. Mayrand
2025 J jnl
Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods.
SIAM J. Imaging Sci.
Patrick L. Combettes, Javier I. Madariaga
2025 — conf
Stochastic Block-Iterative Parallel Subgradient Projections Method with Super Relaxations for Convex Feasibility.
EUSIPCO
Patrick L. Combettes, Javier I. Madariaga
2024 J jnl
A Perturbation Framework for Convex Minimization and Monotone Inclusion Problems with Nonlinear Compositions.
Math. Oper. Res.
Luis M. Briceño-Arias, Patrick L. Combettes
2024 J jnl
Integral Resolvent and Proximal Mixtures.
J. Optim. Theory Appl.
Minh N. Bùi, Patrick L. Combettes
2024 J jnl
Proximity Operators of Perspective Functions with Nonlinear Scaling.
SIAM J. Optim.
Luis M. Briceño-Arias, Patrick L. Combettes, Francisco J. Silva
2024 — conf
Randomly Activated Proximal Methods for Nonsmooth Convex Minimization.
EUSIPCO
Patrick L. Combettes, Javier I. Madariaga
2024 — conf
Signal Recovery with Proximal Comixtures.
EUSIPCO
Patrick L. Combettes, Diêgo J. Cornejo
2024 J jnl
The geometry of monotone operator splitting methods.
Acta Numer.
Patrick L. Combettes
2023 Misc conf
A Variational Inequality Model for Learning Neural Networks.
ICASSP
Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
2022 J jnl
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations.
SIAM J. Imaging Sci.
Patrick L. Combettes, Zev Woodstock
2022 Misc conf
Block-Activated Algorithms For Multicomponent Fully Nonsmooth Minimization.
ICASSP
Minh N. Bùi, Patrick L. Combettes, Zev Woodstock
2022 J jnl
Multivariate Monotone Inclusions in Saddle Form.
Math. Oper. Res.
Minh N. Bùi, Patrick L. Combettes
2022 Misc conf
Signal Recovery from Inconsistent Nonlinear Observations.
ICASSP
Patrick L. Combettes, Zev Woodstock
2021 J jnl
Fixed Point Strategies in Data Science.
IEEE Trans. Signal Process.
Patrick L. Combettes, Jean-Christophe Pesquet
2021 J jnl
Reconstruction of functions from prescribed proximal points.
J. Approx. Theory
Patrick L. Combettes, Zev Woodstock
2021 J jnl
c-lasso - a Python package for constrained sparse and robust regression and classification.
J. Open Source Softw.
Léo Simpson, Patrick L. Combettes, Christian L. Müller
2020 — conf
A Fixed Point Framework for Recovering Signals from Nonlinear Transformations.
EUSIPCO
Patrick L. Combettes, Zev Woodstock
2020 J jnl
Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators.
SIAM J. Math. Data Sci.
Patrick L. Combettes, Jean-Christophe Pesquet
2020 J jnl
The Douglas-Rachford Algorithm Converges Only Weakly.
SIAM J. Control. Optim.
Nhut Minh Bùi, Patrick L. Combettes
2020 J jnl
c-lasso - a Python package for constrained sparse and robust regression and classification.
CoRR
Léo Simpson, Patrick L. Combettes, Christian L. Müller
2019 — conf
Fully Proximal Splitting Algorithms In Image Recovery.
EUSIPCO
Patrick L. Combettes, Lilian E. Glaudin
2019 J jnl
Learning with optimal interpolation norms.
Numer. Algorithms
Patrick L. Combettes, Andrew M. McDonald, Charles A. Micchelli, Massimiliano Pontil
2019 J jnl
Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery.
SIAM J. Imaging Sci.
Patrick L. Combettes, Lilian E. Glaudin
2019 J jnl
Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence.
Math. Program.
Patrick L. Combettes, Jean-Christophe Pesquet
2018 J jnl
Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions.
Math. Program.
Patrick L. Combettes, Jonathan Eckstein
2018 J jnl
Consistent learning by composite proximal thresholding.
Math. Program.
Patrick L. Combettes, Saverio Salzo, Silvia Villa
2018 — conf
Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms.
EUSIPCO
Patrick L. Combettes, Jean-Christophe Pesquet
2018 J jnl
Monotone operator theory in convex optimization.
Math. Program.
Patrick L. Combettes
2017 J jnl
Classification and Regression Using an Outer Approximation Projection-Gradient Method.
IEEE Trans. Signal Process.
Michel Barlaud, Wafa Belhajali, Patrick L. Combettes, Lionel Fillatre
2017 J jnl
Quasi-Nonexpansive Iterations on the Affine Hull of Orbits: From Mann's Mean Value Algorithm to Inertial Methods.
SIAM J. Optim.
Patrick L. Combettes, Lilian E. Glaudin
2016 J jnl
A strongly convergent primal-dual method for nonoverlapping domain decomposition.
Numerische Mathematik
Hédy Attouch, Luis M. Briceño-Arias, Patrick L. Combettes
2016 — conf
Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration.
EUSIPCO
Patrick L. Combettes, Jean-Christophe Pesquet
2015 J jnl
Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping.
SIAM J. Optim.
Patrick L. Combettes, Jean-Christophe Pesquet
2014 B conf
A forward-backward view of some primal-dual optimization methods in image recovery.
ICIP
Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Công Vu
2014 J jnl
A primal-dual method of partial inverses for composite inclusions.
Optim. Lett.
Maryam A. Alghamdi, Abdullah M. Alotaibi, Patrick L. Combettes, Naseer Shahzad
2014 J jnl
Preface.
Math. Program.
Patrick L. Combettes, Jean-Baptiste Hiriart-Urruty, Michel Théra
2014 J jnl
Solving Coupled Composite Monotone Inclusions by Successive Fejér Approximations of their Kuhn-Tucker Set.
SIAM J. Optim.
Abdullah M. Alotaibi, Patrick L. Combettes, Naseer Shahzad
2013 J jnl
Moreau's decomposition in Banach spaces.
Math. Program.
Patrick L. Combettes, Noli N. Reyes
2013 J jnl
Systems of Structured Monotone Inclusions: Duality, Algorithms, and Applications.
SIAM J. Optim.
Patrick L. Combettes
2012 J jnl
On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints.
Comput. Optim. Appl.
Yair Censor, Wei Chen, Patrick L. Combettes, Ran Davidi, Gabor T. Herman
2011 J jnl
A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality.
SIAM J. Optim.
Luis M. Briceño-Arias, Patrick L. Combettes
2011 — book
Convex Analysis and Monotone Operator Theory in Hilbert Spaces
Heinz H. Bauschke, Patrick L. Combettes
2011 — book
Fixed-Point Algorithms for Inverse Problems in Science and Engineering
Heinz H. Bauschke, Regina Sandra Burachik, Patrick L. Combettes, Veit Elser, D. Russell Luke, Henry Wolkowicz
2011 J jnl
Proximal Algorithms for Multicomponent Image Recovery Problems.
J. Math. Imaging Vis.
Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2011 — ch.
Proximal Splitting Methods in Signal Processing.
Fixed-Point Algorithms for Inverse Problems in Science and Engineering
Patrick L. Combettes, Jean-Christophe Pesquet
2010 J jnl
A Parallel Splitting Method for Coupled Monotone Inclusions.
SIAM J. Control. Optim.
Hédy Attouch, Luis M. Briceño-Arias, Patrick L. Combettes
2010 B conf
Alternating proximal algorithm for blind image recovery.
ICIP
Jérôme Bolte, Patrick L. Combettes, Jean-Christophe Pesquet
2010 J jnl
Functions with prescribed best linear approximations.
J. Approx. Theory
Patrick L. Combettes, Noli N. Reyes
2010 B conf
Proximal method for geometry and texture image decomposition.
ICIP
Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2009 — ch.
Fejér Monotonicity in Convex Optimization.
Encyclopedia of Optimization
Patrick L. Combettes
2009 Misc conf
Split convex minimization algorithm for signal recovery.
ICASSP
Patrick L. Combettes, Jean-Christophe Pesquet
2007 J jnl
A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery.
J. Sel. Topics Signal Processing
Patrick L. Combettes, Jean-Christophe Pesquet
2007 J jnl
Proximal Thresholding Algorithm for Minimization over Orthonormal Bases.
SIAM J. Optim.
Patrick L. Combettes, Jean-Christophe Pesquet
2007 — conf
Sparse signal recovery by iterative proximal thresholding.
EUSIPCO
Patrick L. Combettes, Jean-Christophe Pesquet
2006 — conf
A Decomposition Method for Nonsmooth Convex Variational Signal Recovery.
ICASSP (5)
Heinz H. Bauschke, Patrick L. Combettes, Jean-Christophe Pesquet
2006 J jnl
A strongly convergent reflection method for finding the projection onto the intersection of two closed convex sets in a Hilbert space.
J. Approx. Theory
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
2006 J jnl
Extrapolation algorithm for affine-convex feasibility problems.
Numer. Algorithms
Heinz H. Bauschke, Patrick L. Combettes, Serge G. Kruk
2006 — conf
Iterative image deconvolution using overcomplete representations.
EUSIPCO
Caroline Chaux, Patrick L. Combettes, Jean-Christophe Pesquet, Valérie R. Wajs
2005 — conf
A new generation of iterative transform algorithms for phase contrast tomography.
ICASSP (4)
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
2005 J jnl
Parallel Block-Iterative Reconstruction Algorithms for Binary Tomography.
Electron. Notes Discret. Math.
Thomas D. Capricelli, Patrick L. Combettes
2005 J jnl
Signal Recovery by Proximal Forward-Backward Splitting.
Multiscale Model. Simul.
Patrick L. Combettes, Valérie R. Wajs
2004 — conf
Constraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example].
ICASSP (2)
Patrick L. Combettes, Jean-Christophe Pesquet
2004 B conf
Estimating first-order finite-difference information in image restoration problems.
ICIP
Patrick L. Combettes, Jean-Christophe Pesquet
2004 J jnl
Finding best approximation pairs relative to two closed convex sets in Hilbert spaces.
J. Approx. Theory
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
2004 J jnl
Image restoration subject to a total variation constraint.
IEEE Trans. Image Process.
Patrick L. Combettes, Jean-Christophe Pesquet
2004 J jnl
Proximal Methods for Cohypomonotone Operators.
SIAM J. Control. Optim.
Patrick L. Combettes, Teemu Pennanen
2004 B conf
Theoretical analysis of some regularized image denoising methods.
ICIP
Patrick L. Combettes, Valérie R. Wajs
2004 J jnl
Wavelet-Constrained Image Restoration.
Int. J. Wavelets Multiresolution Inf. Process.
Patrick L. Combettes, Jean-Christophe Pesquet
2003 J jnl
A block-iterative surrogate constraint splitting method for quadratic signal recovery.
IEEE Trans. Signal Process.
Patrick L. Combettes
2003 J jnl
Bregman Monotone Optimization Algorithms.
SIAM J. Control. Optim.
Heinz H. Bauschke, Jonathan M. Borwein, Patrick L. Combettes
2003 — conf
Image deconvolution with total variation bounds.
ISSPA (1)
Patrick L. Combettes, Jean-Christophe Pesquet
2003 J jnl
Iterating Bregman Retractions.
SIAM J. Optim.
Heinz H. Bauschke, Patrick L. Combettes
2003 — conf
Total variation information in image recovery.
ICIP (3)
Patrick L. Combettes, Jean-Christophe Pesquet
2002 J jnl
An adaptive level set method for nondifferentiable constrained image recovery.
IEEE Trans. Image Process.
Patrick L. Combettes, Jian Luo
2002 — conf
On the structure of some phase retrieval algorithms.
ICIP (2)
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
2001 J jnl
A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces.
Math. Oper. Res.
Heinz H. Bauschke, Patrick L. Combettes
2001 — conf
Convex set theoretic image recovery with inexact projection algorithms.
ICIP (1)
Patrick L. Combettes
2001 J jnl
On the numerical robustness of the parallel projection method in signal synthesis.
IEEE Signal Process. Lett.
Patrick L. Combettes
2000 Misc conf
A level-set subgradient projection algorithm for non-differentiable signal restoration with multiple constraints.
ICASSP
Jian Luo, Patrick L. Combettes
2000 Misc conf
A parallel constraint disintegration and approximation scheme for quadratic signal recovery.
ICASSP
Patrick L. Combettes
2000 J jnl
Strong Convergence of Block-Iterative Outer Approximation Methods for Convex Optimization.
SIAM J. Control. Optim.
Patrick L. Combettes
1999 — conf
A subgradient projection algorithm for nondifferentiable signal recovery.
NSIP
Jian Luo, Patrick L. Combettes
1999 J jnl
Hard-constrained inconsistent signal feasibility problems.
IEEE Trans. Signal Process.
Patrick L. Combettes, Pascal Bondon
1998 Misc conf
A block-iterative quadratic signal recovery algorithm.
ICASSP
Patrick L. Combettes
1998 — conf
Constrained pulse shape synthesis for digital communications.
EUSIPCO
Patrick L. Combettes, P. Boudon
1998 J jnl
Convex Multiresolution Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Patrick L. Combettes, Jean-Christophe Pesquet
1998 — conf
Nonlinear Multiresolution Image Analysis via Convex Projections.
ICIP (2)
Patrick L. Combettes, Jean-Christophe Pesquet
1997 J jnl
Convex set theoretic image recovery by extrapolated iterations of parallel subgradient projections.
IEEE Trans. Image Process.
Patrick L. Combettes
1997 Misc conf
Hard-constrained signal feasibility problems.
ICASSP
Patrick L. Combettes, Pascal Bondon
1996 J jnl
Combining statistical information in set theoretic estimation.
IEEE Signal Process. Lett.
Patrick L. Combettes, Thierry J. Chaussalet
1996 — conf
Generalized convex set theoretic image recovery.
ICIP (2)
Patrick L. Combettes
1996 Misc conf
Operator theoretic image coding.
ICASSP
Hong Puh, Patrick L. Combettes
1996 J jnl
Wavelet synthesis by alternating projections.
IEEE Trans. Signal Process.
Jean-Christophe Pesquet, Patrick L. Combettes
1995 Misc conf
Adaptive linear filtering with convex constraints.
ICASSP
Patrick L. Combettes, Pascal Bondon
1995 B conf
Constrained image recovery in a product space.
ICIP
Patrick L. Combettes
1995 J jnl
Volterra filtering and higher order whiteness.
IEEE Trans. Signal Process.
Pascal Bondon, Patrick L. Combettes, Bernard C. Picinbono
1994 — conf
A fast parallel projection algorithm for set theoretic image recovery.
ICASSP (5)
Patrick L. Combettes, Hong Puh
1994 — conf
Convex Set Theoretic Image Recovery via Chaotic Iterations of Approximate Projections.
ICIP (3)
Patrick L. Combettes
1994 J jnl
Inconsistent signal feasibility problems: least-squares solutions in a product space.
IEEE Trans. Signal Process.
Patrick L. Combettes
1993 — conf
Parallel projection methods for set theoretic signal reconstruction and restoration.
ICASSP (5)
Patrick L. Combettes, Hong Puh
1993 J jnl
Signal recovery by best feasible approximation.
IEEE Trans. Image Process.
Patrick L. Combettes
1993 J jnl
The foundations of set theoretic estimation.
Proc. IEEE
Patrick L. Combettes
1993 — conf
Volterra prediction models and higher order whiteness.
ICASSP (4)
Pascal Bondon, Patrick L. Combettes, Bernard Picinbono
1992 Misc conf
A general framework for the incorporation of uncertainty in set theoretic estimation.
ICASSP
Patrick L. Combettes, Messaoud Benidir, Bernard C. Picinbono
1992 J jnl
Best stable and invertible approximations for ARMA systems.
IEEE Trans. Signal Process.
Patrick L. Combettes, H. Joel Trussell
1992 J jnl
Convex set theoretic image recovery: History, current status, and new directions.
J. Vis. Commun. Image Represent.
Patrick L. Combettes
1992 J jnl
Signal detection via spectral theory of large dimensional random matrices.
IEEE Trans. Signal Process.
Jack W. Silverstein, Patrick L. Combettes
1991 J jnl
Set theoretic estimation by random search.
IEEE Trans. Signal Process.
Patrick L. Combettes, H. Joel Trussell
1991 Misc conf
The foundations of set theoretic estimation.
ICASSP
Patrick L. Combettes, M. Reha Civanlar
1991 J jnl
The use of noise properties in set theoretic estimation.
IEEE Trans. Signal Process.
Patrick L. Combettes, H. Joel Trussell
1990 Misc conf
New methods for the synthesis of set theoretic estimates [digital signal processing].
ICASSP
Patrick L. Combettes, H. Joel Trussell
1989 Misc conf
General order moments in set theoretic estimation.
ICASSP
Patrick L. Combettes, H. Joel Trussell
1989 J jnl
Methods for digital restoration of signals degraded by a stochastic impulse response.
IEEE Trans. Acoust. Speech Signal Process.
Patrick L. Combettes, Henry J. Trussell
1988 Misc conf
Stability of the linear prediction filter: a set theoretic approach.
ICASSP
Patrick L. Combettes, H. Joel Trussell
1987 Misc conf
Considerations for the restoration of stochastic degradations.
ICASSP
H. Joel Trussell, Patrick L. Combettes