93 citations · 94 across the 5 of their papers we have counts for
7 papers
Speeding Up Nonsmooth Bayesian MCMC Sampling via Inexact Proximal Unadjusted Langevin Algorithm
Susan Ghaderi, Alireza Kabgani, Yves Moreau +1
We study sampling from posterior distributions with nonsmooth composite potentials, a setting in which proximal-based Langevin methods are theoretically appealing but in practice l…
(Adaptive) Scaled gradient methods beyond locally Holder smoothness: Lyapunov analysis, convergence rate and complexity
Susan Ghaderi, Morteza Rahimi, Yves Moreau +1
This paper addresses the unconstrained minimization of smooth convex functions whose gradients are locally Holder continuous. Building on these results, we analyze the Scaled Gradi…
Minimizing Smooth Kurdyka-Łojasiewicz Functions via Generalized Descent Methods: Convergence Rate and Complexity
Masoud Ahookhosh, Susan Ghaderi, Alireza Kabgani +1
This paper introduces a generalized descent algorithm (DEAL) for minimizing smooth nonconvex functions. If the objective function is nonsmooth, a smoothing technique (e.g., forward…
Projected subgradient methods for paraconvex optimization: Application to robust low-rank matrix recovery
Morteza Rahimi, Susan Ghaderi, Yves Moreau +1
This paper is devoted to the class of paraconvex functions and presents some of its fundamental properties, characterization, and examples that can be used for their recognition an…
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
Laurent Heirendt, Sylvain Arreckx, Thomas Pfau +52
COnstraint-Based Reconstruction and Analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental data and quantitative prediction of physico…
Two globally convergent nonmonotone trust-region methods for unconstrained optimization
Masoud Ahookhosh, Susan Ghaderi
This paper addresses some trust-region methods equipped with nonmonotone strategies for solving nonlinear unconstrained optimization problems. More specifically, the importance of…
On efficiency of nonmonotone Armijo-type line searches
Masoud Ahookhosh, Susan Ghaderi
Monotonicity and nonmonotonicity play a key role in studying the global convergence and the efficiency of iterative schemes employed in the field of nonlinear optimization, where g…