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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

Distance transformations: fast algorithms and applications to medical image processing

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Chattez avec Graph Search

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Reach For the Arcs: Reconstructing Surfaces from SDFs via Tangent Points

Efficient Continual Finite-Sum Minimization

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

A Gradient-Gated SPAD Array for Non-Line-of-Sight Imaging

Why computational complexity may set impenetrable barriers for epistemic reductionism

Static Worst-Case Resource Analysis for Substrate Pallets

Automated planning for the construction of laterally resistant masonry walls using irregular stones

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Efficient Continual Finite-Sum Minimization

Reach For the Arcs: Reconstructing Surfaces from SDFs via Tangent Points

Static Worst-Case Resource Analysis for Substrate Pallets

Automated planning for the construction of laterally resistant masonry walls using irregular stones

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

A Gradient-Gated SPAD Array for Non-Line-of-Sight Imaging

A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving

Why computational complexity may set impenetrable barriers for epistemic reductionism