50 citations · 302 across the 44 of their papers we have counts for
5 papers · 1 filter
Joint estimation of quantile planes over arbitrary predictor spaces
Yun Yang, Surya Tokdar
In spite of the recent surge of interest in quantile regression, joint estimation of linear quantile planes remains a great challenge in statistics and econometrics. We propose a n…
On the last fall degree of zero-dimensional Weil descent systems
Ming-Deh A. Huang, Michiel Kosters, Yun Yang +1
In this article we will discuss a new, mostly theoretical, method for solving (zero-dimensional) polynomial systems, which lies in between Gröbner basis computations and the heuris…
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Yun Yang, Martin J. Wainwright, Michael I. Jordan
We study the computational complexity of Markov chain Monte Carlo (MCMC) methods for high-dimensional Bayesian linear regression under sparsity constraints. We first show that a Ba…
Semiparametric Bernstein-von Mises Theorem: Second Order Studies
Yun Yang, Guang Cheng, David B. Dunson
The major goal of this paper is to study the second order frequentist properties of the marginal posterior distribution of the parametric component in semiparametric Bayesian model…
Randomized sketches for kernels: Fast and optimal non-parametric regression
Yun Yang, Mert Pilanci, Martin J. Wainwright
Kernel ridge regression (KRR) is a standard method for performing non-parametric regression over reproducing kernel Hilbert spaces. Given samples, the time and space complexity…