21 citations · 129 across the 26 of their papers we have counts for
4 papers · 1 filter
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature
Yufan Li, Zhou Fan, Subhabrata Sen +1
We study estimation in the linear model , in a Bayesian setting where has an entrywise i.i.d. prior and the design is rotationally-invariant in law. In…
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes
Zhou Fan, Xinran Han, Zi Wang
Bayesian optimization (BO), while proved highly effective for many black-box function optimization tasks, requires practitioners to carefully select priors that well model their fu…
Rates of estimation for high-dimensional multi-reference alignment
Zehao Dou, Zhou Fan, Harrison Zhou
We study the continuous multi-reference alignment model of estimating a periodic function on the circle from noisy and circularly-rotated observations. Motivated by analogous high-…
TAP equations for orthogonally invariant spin glasses at high temperature
Zhou Fan, Yufan Li, Subhabrata Sen
We study the high-temperature regime of a mean-field spin glass model whose couplings matrix is orthogonally invariant in law. The magnetization of this model is conjectured to sat…