ICML 2024 "dependent data analysis" Papers

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Conference

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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 2024poster

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