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20072025
most citedDeep Ordinal Regression Network for Monocular Depth Estimation

172 citations

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5 papers · 1 filter

math.OC2020★ 10 cited

Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance

A. Barakat, P. Bianchi, W. Hachem +1

In this paper, a general stochastic optimization procedure is studied, unifying several variants of the stochastic gradient descent such as, among others, the stochastic heavy ball…

math.OC2020★ 8 cited

Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization

Arthur Marmin, Marc Castella, Jean-Christophe Pesquet +1

We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate. Our method formulates the reconstruction problem as a…

math.OC2020★ 28 cited

SPOQ -Over- Regularization for Sparse Signal Recovery applied to Mass Spectrometry

Afef Cherni, Emilie Chouzenoux, Laurent Duval +1

Underdetermined or ill-posed inverse problems require additional information for \ldd{d} sound solutions with tractable optimization algorithms. Sparsity yields consequent heuristi…

math.OC2017★ 27 cited

A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression

Luis M. Briceno-Arias, Giovanni Chierchia, Emilie Chouzenoux +1

In this paper, we propose a new optimization algorithm for sparse logistic regression based on a stochastic version of the Douglas-Rachford splitting method. Our algorithm sweeps t…

math.OC2012★ 1 cited

Climbing on Pyramids

Jean Serra, Bangalore Ravi Kiran

A new approach is proposed for finding the "best cut" in a hierarchy of partitions by energy minimization. Said energy must be "climbing" i.e. it must be hierarchically and scale i…