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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

Série (mathématiques)

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The Environment, constant or variable?

Efficient Continual Finite-Sum Minimization

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

Device and system as human interactive surface

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

Doppler spectra collected by weather and cloud radars during the POPE 2020 campaign at Princess Elisabeth Antarctica

Fractal Analysis and Time Series Application in ZY-4 SEM Micro Fractographies Evaluation

Probing multi-particle unitarity with the Landau equations

In-series sample methodology for permeability characterization demonstrated on carbon nanotube-grafted alumina textiles

MATHICSE Technical Report: Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale

The Environment, constant or variable?

Efficient Continual Finite-Sum Minimization

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

Device and system as human interactive surface

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

Doppler spectra collected by weather and cloud radars during the POPE 2020 campaign at Princess Elisabeth Antarctica

Fractal Analysis and Time Series Application in ZY-4 SEM Micro Fractographies Evaluation

Probing multi-particle unitarity with the Landau equations

In-series sample methodology for permeability characterization demonstrated on carbon nanotube-grafted alumina textiles

MATHICSE Technical Report: Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale