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May 22, 2020 · Using this framework, we analyze both stable forms of gradient descent and some higher-order and unstable algorithms, including Newton's method ...
May 26, 2020 · We develop a general framework that yields bounds on statistical accuracy based on the interplay between the deterministic convergence rate of ...
A general framework is developed that yields bounds on statistical accuracy based on the interplay between the deterministic convergence rate of the ...
Under what conditions does an optimization algorithm achieve a statistically optimal rate?
Instability, computational efficiency and statistical accuracy. N Ho, K Khamaru, R Dwivedi, MJ Wainwright, MI Jordan, B Yu. arXiv preprint arXiv:2005.11411 ...
May 28, 2020 · Bibliographic details on Instability, Computational Efficiency and Statistical Accuracy.
Stable discovery of interpretable subgroups via calibration in causal studies. R Dwivedi*, YS Tan*, B Park, M Wei, K Horgan, D Madigan, B Yu. International ...
We study the statistical and computational complexities of the Polyak step size gradient descent algorithm under generalized smooth-.
ABSTRACT. Nonintrusive least-squares-based polynomial chaos expansion (PCE) techniques have attracted increasing attention among researchers for simple yet ...
Missing: Instability, Statistical
Computational Efficiency and Precision for Replicated-Count and ...
www.ncbi.nlm.nih.gov › PMC9434542
Sep 1, 2022 · We address two computational issues common to open-population N-mixture models, hidden integer-valued autoregressive models, and some hidden ...