9 citations · 19 across the 4 of their papers we have counts for
4 papers
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao +5
Collaborative Filtering (CF) is a widely used and effective technique for recommender systems. In recent decades, there have been significant advancements in latent embedding-based…
How rotational invariance of common kernels prevents generalization in high dimensions
Konstantin Donhauser, Mingqi Wu, Fanny Yang
Kernel ridge regression is well-known to achieve minimax optimal rates in low-dimensional settings. However, its behavior in high dimensions is much less understood. Recent work es…
A data-driven workflow for predicting horizontal well production using vertical well logs
Jorge Guevara, Matthias Kormaksson, Bianca Zadrozny +6
In recent work, data-driven sweet spotting technique for shale plays previously explored with vertical wells has been proposed. Here, we extend this technique to multiple formation…
Weak Convergence Rates of Population versus Single-Chain Stochastic Approximation MCMC Algorithms
Qifan Song, Mingqi Wu, Faming Liang
In this paper, we establish the theory of weak convergence (toward a normal distribution) for both single-chain and population stochastic approximation MCMC algorithms. Based on th…