3 citations · 3 across the 3 of their papers we have counts for
3 papers
Regularization and Selection in A Directed Network Model with Nodal Homophily and Nodal Effects
Zhaoyu Xing, Y. X. Rachel Wang, Andrew T. A. Wood +1
This article introduces a regularization and selection methods for directed networks with nodal homophily and nodal effects. The proposed approach not only preserves the statistica…
Noise-Adaptive Conformal Classification with Marginal Coverage
Teresa Bortolotti, Y. X. Rachel Wang, Xin Tong +3
Conformal inference provides a rigorous statistical framework for uncertainty quantification in machine learning, enabling well-calibrated prediction sets with precise coverage gua…
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong
Traditional MCMC algorithms are computationally intensive and do not scale well to large data. In particular, the Metropolis-Hastings (MH) algorithm requires passing over the entir…