Patrick L. Combettes

ORCID

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 25

Top Venues

Publications

Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
A Variational Inequality Model for Learning Neural Networks. ICASSP (2023)
Patrick L. Combettes, Zev Woodstock
Signal Recovery from Inconsistent Nonlinear Observations. ICASSP (2022)
Patrick L. Combettes, Zev Woodstock
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations. SIAM J. Imaging Sci. 15 (1) (2022)
Minh N. Bùi, Patrick L. Combettes
Multivariate Monotone Inclusions in Saddle Form. Math. Oper. Res. 47 (2) (2022)
Minh N. Bùi, Patrick L. Combettes, Zev Woodstock
Block-Activated Algorithms For Multicomponent Fully Nonsmooth Minimization. ICASSP (2022)
Léo Simpson, Patrick L. Combettes, Christian L. Müller
c-lasso - a Python package for constrained sparse and robust regression and classification. J. Open Source Softw. 6 (57) (2021)
Patrick L. Combettes, Zev Woodstock
Reconstruction of functions from prescribed proximal points. J. Approx. Theory 268 (2021)
Patrick L. Combettes, Jean-Christophe Pesquet
Fixed Point Strategies in Data Science. IEEE Trans. Signal Process. 69 (2021)
Patrick L. Combettes, Jean-Christophe Pesquet
Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators. SIAM J. Math. Data Sci. 2 (2) (2020)
Patrick L. Combettes, Zev Woodstock
A Fixed Point Framework for Recovering Signals from Nonlinear Transformations. EUSIPCO (2020)
Nhut Minh Bùi, Patrick L. Combettes
The Douglas-Rachford Algorithm Converges Only Weakly. SIAM J. Control. Optim. 58 (2) (2020)
Léo Simpson, Patrick L. Combettes, Christian L. Müller
c-lasso - a Python package for constrained sparse and robust regression and classification. CoRR (2020)
Patrick L. Combettes, Lilian E. Glaudin
Fully Proximal Splitting Algorithms In Image Recovery. EUSIPCO (2019)
Patrick L. Combettes, Jean-Christophe Pesquet
Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence. Math. Program. 174 (1-2) (2019)
Patrick L. Combettes, Andrew M. McDonald, Charles A. Micchelli, Massimiliano Pontil
Learning with optimal interpolation norms. Numer. Algorithms 81 (2) (2019)
Patrick L. Combettes, Lilian E. Glaudin
Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery. SIAM J. Imaging Sci. 12 (4) (2019)
Patrick L. Combettes
Monotone operator theory in convex optimization. Math. Program. 170 (1) (2018)
Patrick L. Combettes, Jonathan Eckstein
Asynchronous block-iterative primal-dual decomposition methods for monotone inclusions. Math. Program. 168 (1-2) (2018)
Patrick L. Combettes, Saverio Salzo, Silvia Villa
Consistent learning by composite proximal thresholding. Math. Program. 167 (1) (2018)
Patrick L. Combettes, Jean-Christophe Pesquet
Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms. EUSIPCO (2018)
Michel Barlaud, Wafa Belhajali, Patrick L. Combettes, Lionel Fillatre
Classification and Regression Using an Outer Approximation Projection-Gradient Method. IEEE Trans. Signal Process. 65 (17) (2017)
Patrick L. Combettes, Lilian E. Glaudin
Quasi-Nonexpansive Iterations on the Affine Hull of Orbits: From Mann's Mean Value Algorithm to Inertial Methods. SIAM J. Optim. 27 (4) (2017)
Hédy Attouch, Luis M. Briceño-Arias, Patrick L. Combettes
A strongly convergent primal-dual method for nonoverlapping domain decomposition. Numerische Mathematik 133 (3) (2016)
Patrick L. Combettes, Jean-Christophe Pesquet
Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration. EUSIPCO (2016)
Patrick L. Combettes, Jean-Christophe Pesquet
Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping. SIAM J. Optim. 25 (2) (2015)
Abdullah M. Alotaibi, Patrick L. Combettes, Naseer Shahzad
Solving Coupled Composite Monotone Inclusions by Successive Fejér Approximations of their Kuhn-Tucker Set. SIAM J. Optim. 24 (4) (2014)
Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Công Vu
A forward-backward view of some primal-dual optimization methods in image recovery. ICIP (2014)
Patrick L. Combettes, Jean-Baptiste Hiriart-Urruty, Michel Théra
Preface. Math. Program. 148 (1-2) (2014)
Maryam A. Alghamdi, Abdullah M. Alotaibi, Patrick L. Combettes, Naseer Shahzad
A primal-dual method of partial inverses for composite inclusions. Optim. Lett. 8 (8) (2014)
Patrick L. Combettes
Systems of Structured Monotone Inclusions: Duality, Algorithms, and Applications. SIAM J. Optim. 23 (4) (2013)
Patrick L. Combettes, Noli N. Reyes
Moreau's decomposition in Banach spaces. Math. Program. 139 (1-2) (2013)
Yair Censor, Wei Chen, Patrick L. Combettes, Ran Davidi, Gabor T. Herman
On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints. Comput. Optim. Appl. 51 (3) (2012)
Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
Proximal Algorithms for Multicomponent Image Recovery Problems. J. Math. Imaging Vis. 41 (1-2) (2011)
Luis M. Briceño-Arias, Patrick L. Combettes
A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality. SIAM J. Optim. 21 (4) (2011)
Jérôme Bolte, Patrick L. Combettes, Jean-Christophe Pesquet
Alternating proximal algorithm for blind image recovery. ICIP (2010)
Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
Proximal method for geometry and texture image decomposition. ICIP (2010)
Patrick L. Combettes, Noli N. Reyes
Functions with prescribed best linear approximations. J. Approx. Theory 162 (5) (2010)
Hédy Attouch, Luis M. Briceño-Arias, Patrick L. Combettes
A Parallel Splitting Method for Coupled Monotone Inclusions. SIAM J. Control. Optim. 48 (5) (2010)
Patrick L. Combettes, Jean-Christophe Pesquet
Split convex minimization algorithm for signal recovery. ICASSP (2009)
Patrick L. Combettes, Jean-Christophe Pesquet
A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery. J. Sel. Topics Signal Processing 1 (4) (2007)
Patrick L. Combettes, Jean-Christophe Pesquet
Proximal Thresholding Algorithm for Minimization over Orthonormal Bases. SIAM J. Optim. 18 (4) (2007)
Patrick L. Combettes, Jean-Christophe Pesquet
Sparse signal recovery by iterative proximal thresholding. EUSIPCO (2007)
Heinz H. Bauschke, Patrick L. Combettes, Jean-Christophe Pesquet
A Decomposition Method for Nonsmooth Convex Variational Signal Recovery. ICASSP (5) (2006)
Caroline Chaux, Patrick L. Combettes, Jean-Christophe Pesquet, Valérie R. Wajs
Iterative image deconvolution using overcomplete representations. EUSIPCO (2006)
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
A strongly convergent reflection method for finding the projection onto the intersection of two closed convex sets in a Hilbert space. J. Approx. Theory 141 (1) (2006)
Heinz H. Bauschke, Patrick L. Combettes, Serge G. Kruk
Extrapolation algorithm for affine-convex feasibility problems. Numer. Algorithms 41 (3) (2006)
Thomas D. Capricelli, Patrick L. Combettes
Parallel Block-Iterative Reconstruction Algorithms for Binary Tomography. Electron. Notes Discret. Math. 20 (2005)
Patrick L. Combettes, Valérie R. Wajs
Signal Recovery by Proximal Forward-Backward Splitting. Multiscale Model. Simul. 4 (4) (2005)
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
A new generation of iterative transform algorithms for phase contrast tomography. ICASSP (4) (2005)
Patrick L. Combettes, Jean-Christophe Pesquet
Wavelet-Constrained Image Restoration. Int. J. Wavelets Multiresolution Inf. Process. 2 (4) (2004)
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
Finding best approximation pairs relative to two closed convex sets in Hilbert spaces. J. Approx. Theory 127 (2) (2004)
Patrick L. Combettes, Jean-Christophe Pesquet
Image restoration subject to a total variation constraint. IEEE Trans. Image Process. 13 (9) (2004)
Patrick L. Combettes, Teemu Pennanen
Proximal Methods for Cohypomonotone Operators. SIAM J. Control. Optim. 43 (2) (2004)
Patrick L. Combettes, Valérie R. Wajs
Theoretical analysis of some regularized image denoising methods. ICIP (2004)
Patrick L. Combettes, Jean-Christophe Pesquet
Estimating first-order finite-difference information in image restoration problems. ICIP (2004)
Patrick L. Combettes, Jean-Christophe Pesquet
Constraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example]. ICASSP (2) (2004)
Heinz H. Bauschke, Jonathan M. Borwein, Patrick L. Combettes
Bregman Monotone Optimization Algorithms. SIAM J. Control. Optim. 42 (2) (2003)
Patrick L. Combettes, Jean-Christophe Pesquet
Image deconvolution with total variation bounds. ISSPA (1) (2003)
Patrick L. Combettes, Jean-Christophe Pesquet
Total variation information in image recovery. ICIP (3) (2003)
Patrick L. Combettes
A block-iterative surrogate constraint splitting method for quadratic signal recovery. IEEE Trans. Signal Process. 51 (7) (2003)
Heinz H. Bauschke, Patrick L. Combettes
Iterating Bregman Retractions. SIAM J. Optim. 13 (4) (2003)
Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
On the structure of some phase retrieval algorithms. ICIP (2) (2002)
Patrick L. Combettes, Jian Luo
An adaptive level set method for nondifferentiable constrained image recovery. IEEE Trans. Image Process. 11 (11) (2002)
Patrick L. Combettes
On the numerical robustness of the parallel projection method in signal synthesis. IEEE Signal Process. Lett. 8 (2) (2001)
Heinz H. Bauschke, Patrick L. Combettes
A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces. Math. Oper. Res. 26 (2) (2001)
Patrick L. Combettes
Convex set theoretic image recovery with inexact projection algorithms. ICIP (1) (2001)
Jian Luo, Patrick L. Combettes
A level-set subgradient projection algorithm for non-differentiable signal restoration with multiple constraints. ICASSP (2000)
Patrick L. Combettes
A parallel constraint disintegration and approximation scheme for quadratic signal recovery. ICASSP (2000)
Patrick L. Combettes
Strong Convergence of Block-Iterative Outer Approximation Methods for Convex Optimization. SIAM J. Control. Optim. 38 (2) (2000)
Jian Luo, Patrick L. Combettes
A subgradient projection algorithm for nondifferentiable signal recovery. NSIP (1999)
Patrick L. Combettes, Pascal Bondon
Hard-constrained inconsistent signal feasibility problems. IEEE Trans. Signal Process. 47 (9) (1999)
Patrick L. Combettes, Jean-Christophe Pesquet
Nonlinear Multiresolution Image Analysis via Convex Projections. ICIP (2) (1998)
Patrick L. Combettes, P. Boudon
Constrained pulse shape synthesis for digital communications. EUSIPCO (1998)
Patrick L. Combettes, Jean-Christophe Pesquet
Convex Multiresolution Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20 (12) (1998)
Patrick L. Combettes
A block-iterative quadratic signal recovery algorithm. ICASSP (1998)
Patrick L. Combettes
Convex set theoretic image recovery by extrapolated iterations of parallel subgradient projections. IEEE Trans. Image Process. 6 (4) (1997)
Patrick L. Combettes, Pascal Bondon
Hard-constrained signal feasibility problems. ICASSP (1997)
Patrick L. Combettes, Thierry J. Chaussalet
Combining statistical information in set theoretic estimation. IEEE Signal Process. Lett. 3 (3) (1996)
Patrick L. Combettes
Generalized convex set theoretic image recovery. ICIP (2) (1996)
Jean-Christophe Pesquet, Patrick L. Combettes
Wavelet synthesis by alternating projections. IEEE Trans. Signal Process. 44 (3) (1996)
Hong Puh, Patrick L. Combettes
Operator theoretic image coding. ICASSP (1996)
Patrick L. Combettes
Constrained image recovery in a product space. ICIP (1995)
Pascal Bondon, Patrick L. Combettes, Bernard C. Picinbono
Volterra filtering and higher order whiteness. IEEE Trans. Signal Process. 43 (9) (1995)
Patrick L. Combettes, Pascal Bondon
Adaptive linear filtering with convex constraints. ICASSP (1995)
Patrick L. Combettes
Inconsistent signal feasibility problems: least-squares solutions in a product space. IEEE Trans. Signal Process. 42 (11) (1994)
Patrick L. Combettes, Hong Puh
A fast parallel projection algorithm for set theoretic image recovery. ICASSP (5) (1994)
Patrick L. Combettes
Convex Set Theoretic Image Recovery via Chaotic Iterations of Approximate Projections. ICIP (3) (1994)
Patrick L. Combettes
Signal recovery by best feasible approximation. IEEE Trans. Image Process. 2 (2) (1993)
Pascal Bondon, Patrick L. Combettes, Bernard Picinbono
Volterra prediction models and higher order whiteness. ICASSP (4) (1993)
Patrick L. Combettes, Hong Puh
Parallel projection methods for set theoretic signal reconstruction and restoration. ICASSP (5) (1993)
Patrick L. Combettes
The foundations of set theoretic estimation. Proc. IEEE 81 (2) (1993)
Jack W. Silverstein, Patrick L. Combettes
Signal detection via spectral theory of large dimensional random matrices. IEEE Trans. Signal Process. 40 (8) (1992)
Patrick L. Combettes
Convex set theoretic image recovery: History, current status, and new directions. J. Vis. Commun. Image Represent. 3 (4) (1992)
Patrick L. Combettes, Messaoud Benidir, Bernard C. Picinbono
A general framework for the incorporation of uncertainty in set theoretic estimation. ICASSP (1992)
Patrick L. Combettes, H. Joel Trussell
Best stable and invertible approximations for ARMA systems. IEEE Trans. Signal Process. 40 (12) (1992)
Patrick L. Combettes, H. Joel Trussell
Set theoretic estimation by random search. IEEE Trans. Signal Process. 39 (7) (1991)
Patrick L. Combettes, M. Reha Civanlar
The foundations of set theoretic estimation. ICASSP (1991)
Patrick L. Combettes, H. Joel Trussell
The use of noise properties in set theoretic estimation. IEEE Trans. Signal Process. 39 (7) (1991)
Patrick L. Combettes, H. Joel Trussell
New methods for the synthesis of set theoretic estimates [digital signal processing]. ICASSP (1990)
Patrick L. Combettes, H. Joel Trussell
General order moments in set theoretic estimation. ICASSP (1989)

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Publication Activity (10 Years)

Top Topics

Top Venues

Patrick L. Combettes