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05/13/2023
Convergence and scaling of Boolean-weight optimization for hardware reservoirs
Hardware implementation of neural network are an essential step to imple...
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10/29/2021
An SDP dual relaxation for the Robust Shortest Path Problem with ellipsoidal uncertainty: Pierra's decomposition method and a new primal Frank-Wolfe-type heuristics for duality
This work addresses the Robust counterpart of the Shortest Path Problem ...
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07/25/2020
A finite sample analysis of the double descent phenomenon for ridge function estimation
Recent extensive numerical experiments in high scale machine learning ha...
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04/04/2020
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Many statistical learning problems have recently been shown to be amenab...
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03/27/2020
Boolean learning under noise-perturbations in hardware neural networks
A high efficiency hardware integration of neural networks benefits from ...
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03/11/2019
Revisiting clustering as matrix factorisation on the Stiefel manifold
This paper studies clustering for possibly high dimensional data (e.g. i...
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07/08/2018
Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method
Consider L groups of point sources or spike trains, with the l^th group ...
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05/22/2018
Online shortest paths with confidence intervals for routing in a time varying random network
The increase in the world's population and rising standards of living is...
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05/04/2018
Hedging parameter selection for basis pursuit
In Compressed Sensing and high dimensional estimation, signal recovery o...
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04/03/2018
Feature selection in weakly coherent matrices
A problem of paramount importance in both pure (Restricted Invertibility...
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04/03/2018
Average performance analysis of the stochastic gradient method for online PCA
This paper studies the complexity of the stochastic gradient algorithm f...
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10/19/2017
Post-Prognostics Decision for Optimizing the Commitment of Fuel Cell Systems
In a post-prognostics decision context, this paper addresses the problem...
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06/25/2017
Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox
In this paper, we present a toolbox for a specific optimization problem ...
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06/29/2016
Small coherence implies the weak Null Space Property
In the Compressed Sensing community, it is well known that given a matri...
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06/29/2016
A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering
This paper proposes a variant of the method of Guédon and Verhynin for e...
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06/08/2015
Convex recovery of tensors using nuclear norm penalization
The subdifferential of convex functions of the singular spectrum of real...
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10/17/2012
Mixture model for designs in high dimensional regression and the LASSO
The LASSO is a recent technique for variable selection in the regression...
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01/02/2011