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20102026
most citedCombination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning

57 citations · 159 across the 36 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.ME2021★ 1 cited

Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity

Fan Bu, Allison E. Aiello, Alexander Volfovsky +1

We develop a stochastic epidemic model progressing over dynamic networks, where infection rates are heterogeneous and may vary with individual-level covariates. The joint dynamics…

q-bio.PE2021

Computational tools for assessing gene therapy under branching process models of mutation

Timothy C Stutz, Janet S. Sinsheimer, Mary Sehl +1

Multitype branching processes are ideal for studying the population dynamics of stem cell populations undergoing mutation accumulation over the years following transplant. In such…

stat.ML2021★ 2 cited

Uniform Concentration Bounds toward a Unified Framework for Robust Clustering

Debolina Paul, Saptarshi Chakraborty, Swagatam Das +1

Recent advances in center-based clustering continue to improve upon the drawbacks of Lloyd's celebrated -means algorithm over years after its introduction. Various methods…

stat.ME2021

A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation

Jason Xu, Kenneth Lange

This paper addresses the task of estimating a covariance matrix under a patternless sparsity assumption. In contrast to existing approaches based on thresholding or shrinkage penal…

cs.SI2021★ 1 cited

Community Detection in Weighted Multilayer Networks with Ambient Noise

Mark He, Dylan Lu, Jason Xu +1

We introduce a novel model for multilayer weighted networks that accounts for global noise in addition to local signals. The model is similar to a multilayer stochastic blockmodel…