Mini-batch SGD optimizes a different objective than full partial likelihood in Cox models, but the resulting mb-MPLE is still consistent with optimal rates for neural nets and asymptotic normality for linear models.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Develops MRSS model with latent states to capture dynamic health status and time-varying treatment effects in multi-modal digital phenotype data from Parkinson's patients.
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Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
Mini-batch SGD optimizes a different objective than full partial likelihood in Cox models, but the resulting mb-MPLE is still consistent with optimal rates for neural nets and asymptotic normality for linear models.
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Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
Develops MRSS model with latent states to capture dynamic health status and time-varying treatment effects in multi-modal digital phenotype data from Parkinson's patients.