S. Jerad

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20222026

most citedA Stochastic Objective-Function-Free Adaptive Regularization Method with Optimal Complexity

1 citations · 1 across the 9 of their papers we have counts for

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cs.LG2026

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks

Joseph Webb, Sadok Jerad, Coralia Cartis

Physics-informed neural networks (PINNs) have emerged as a promising route to solve partial differential equations, yet they have struggled to reach the precision of classical solv…

math.OC2026

Fast Adaptive Tensor Methods Under Local Smoothness

Sadok Jerad

A new, fast adaptive regularization methods is proposed and analyzed under local Lipschitz smoothness of the $p$ -th order tensor. For nonconvex problems, it achieves the optimal $\…

math.OC2026

A Parameter-Free First-Order Algorithm for Non-Convex Optimization with $O ~ (ε^{- 5/3})$ Global Rate

Sichao Xiong, Sadok Jerad, Coralia Cartis

We introduce PF-AGD, the first parameter-free, deterministic, accelerated first-order method to achieve $O (ε^{- 5/3} lo g (1/ ε))$ oracle complexity bound when minimizing sufficiently…

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks

Fast Adaptive Tensor Methods Under Local Smoothness

A Parameter-Free First-Order Algorithm for Non-Convex Optimization with O~(ε−5/3) Global Rate

A Parameter-Free First-Order Algorithm for Non-Convex Optimization with $O ~ (ε^{- 5/3})$ Global Rate