qNBO coordinates lower-level quasi-Newton iterations with inverse Hessian-vector products to approximate bilevel hypergradients, giving BFGS and SR1 instantiations and a non-asymptotic BFGS convergence rate.
Multiscale deep equilibrium models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO coordinates lower-level quasi-Newton iterations with inverse Hessian-vector products to approximate bilevel hypergradients, giving BFGS and SR1 instantiations and a non-asymptotic BFGS convergence rate.