Co-occurring keywords · papers mentioning both
Papers
Random Fully Connected Neural Networks as Perturbatively Solvable Hierarchies
JMLR 2024
A Perturbation-Based Kernel Approximation Framework
JMLR 2022
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
AAAI 2022
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
JMLR 2021
Perturbation Theory for the Information Bottleneck
NeurIPS 2021
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
AAAI 2020
Decoupling the Layers in Residual Networks
ICLR 2018
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
JMLR 2013
Spectral Clustering with Perturbed Data
NeurIPS 2008