ICML "dependent data analysis" Papers

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Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Thomas T. Zhang, Bruce Lee, Ingvar Ziemann et al.

ICML 2024posterarXiv:2410.11227

Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data

Yafei Wang, Bo Pan, Mei Li et al.

ICML 2024poster

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features

Chao Wang, Xin Bing, Xin HE et al.

ICML 2024spotlight