Publications associées à Learning with Structured Sparsity: From Discrete to Convex and Back.

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Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Learning with Structured Sparsity: From Discrete to Convex and Back.

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Residual-based attention in physics-informed neural networks

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Data Champions Lunch Talks - Green Bytes: Data-Driven Approaches to EPFL Sustainability

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

The effect of smooth parametrizations on nonconvex optimization landscapes

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Live-cell imaging powered by computation

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

From low-rank retractions to dynamical low-rank approximation and back

Efficient Continual Finite-Sum Minimization

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Data Champions Lunch Talks - Green Bytes: Data-Driven Approaches to EPFL Sustainability

The effect of smooth parametrizations on nonconvex optimization landscapes

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Live-cell imaging powered by computation

Efficient Continual Finite-Sum Minimization

Residual-based attention in physics-informed neural networks

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

From low-rank retractions to dynamical low-rank approximation and back