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Scaled Least Squares Estimator for GLMs in Large-Scale Problems

NeurIPS 2016 · Optimization › Optimizers · approach: Stochastic gradient MCMC · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace MLE solvers with SLS (OLS estimate scaled by a root-found constant)GLM coefficient estimation in large n >> p settings · Higgs, logistic regressiontest error rate: 22.40% vs 22.38%No clear effect
Use SLS instead of batch MLE solverslogistic and Poisson GLMs · Synthetic and real large-scale datasets (Table 1)time to reach min test error (sec): e.g. 2.94 s vs 82.57 s (NR) on logistic synthetic, OLS initHelped

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