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Large-scale riemannian meta-optimization via subspace adaptation
Riemannian meta-optimization provides a promising approach to solving non-linear
constrained optimization problems, which trains neural networks as optimizers to perform …
constrained optimization problems, which trains neural networks as optimizers to perform …
Rcoco: contrastive collective link prediction across multiplex network in riemannian space
Link prediction typically studies the probability of future interconnection among nodes with
the observation in a single social network. More often than not, real scenario is presented as …
the observation in a single social network. More often than not, real scenario is presented as …
Efficient Riemannian meta-optimization by implicit differentiation
To solve optimization problems with nonlinear constrains, the recently developed
Riemannian meta-optimization methods show promise, which train neural networks as an …
Riemannian meta-optimization methods show promise, which train neural networks as an …
Riemannian accelerated zeroth-order algorithm: improved robustness and lower query complexity
C He, Z Pan, X Wang, B Jiang - arxiv preprint arxiv:2405.05713, 2024 - arxiv.org
Optimization problems with access to only zeroth-order information of the objective function
on Riemannian manifolds arise in various applications, spanning from statistical learning to …
on Riemannian manifolds arise in various applications, spanning from statistical learning to …