accelerated methods 1convergence analysis 1convex optimization 1inexact gradient 1performance estimation problem 1
From the 1 of 2 linked papers with an AI index.
2 papers
math.OC2026
Nonasymptotic Analysis of Accelerated Methods With Inexact Oracle Under Absolute Error Bound
Yin Liu, Sam Davanloo Tajbakhsh
The paper derives explicit nonasymptotic convergence bounds for two accelerated first‑order methods applied to smooth convex problems when gradients are accessed with bounded absol…
math.OC2026
Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles
Yin Liu, Sam Davanloo Tajbakhsh
Motivated by emerging applications in machine learning, we consider an optimization problem in a general form where the gradient of the objective function is available through a bi…