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20172020
most citedScaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA

19 citations · 32 across the 3 of their papers we have counts for

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2 papers · 1 filter

math.PR2020★ 8 cited

Multi-Scale Merge-Split Markov Chain Monte Carlo for Redistricting

Eric A. Autry, Daniel Carter, Gregory Herschlag +2

We develop a Multi-Scale Merge-Split Markov chain on redistricting plans. The chain is designed to be usable as the proposal in a Markov Chain Monte Carlo (MCMC) algorithm. Samplin…

math.PR2018

Limiting Behaviors of High Dimensional Stochastic Spin Ensembles

Yuan Gao, Kay Kirkpatrick, Jeremy Marzuola +2

Lattice spin models in statistical physics are used to understand magnetism. Their Hamiltonians are a discrete form of a version of a Dirichlet energy, signifying a relationship to…