activity
20172021
most citedNewtonian Binding from Lattice Quantum Gravity

19 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021★ 2 cited

Nyström Regularization for Time Series Forecasting

Zirui Sun, Mingwei Dai, Yao Wang +1

This paper focuses on learning rate analysis of Nyström regularization with sequential sub-sampling for -mixing time series. Using a recently developed Banach-valued Bernstein i…

hep-lat2021★ 19 cited

Newtonian Binding from Lattice Quantum Gravity

Mingwei Dai, Jack Laiho, Marc Schiffer +1

We study scalar fields propagating on Euclidean dynamical triangulations (EDT). In this work we study the interaction of two scalar particles, and we show that in the appropriate l…

stat.ME2019

BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data

Min Zhou, Mingwei Dai, Yuan Yao +3

Detecting interaction effects among predictors on the response variable is a crucial step in various applications. In this paper, we first propose a simple method for sure screenin…

q-bio.GN2018★ 2 cited

Joint Analysis of Individual-level and Summary-level GWAS Data by Leveraging Pleiotropy

Mingwei Dai, Xiang Wan, Hao Peng +5

A large number of recent genome-wide association studies (GWASs) for complex phenotypes confirm the early conjecture for polygenicity, suggesting the presence of large number of va…

stat.AP2018★ 1 cited

BIVAS: A scalable Bayesian method for bi-level variable selection with applications

Mingxuan Cai, Mingwei Dai, Jingsi Ming +3

In this paper, we consider a Bayesian bi-level variable selection problem in high-dimensional regressions. In many practical situations, it is natural to assign group membership to…

stat.ME2017

LPG: a four-groups probabilistic approach to leveraging pleiotropy in genome-wide association studies

Yi Yang, Mingwei Dai, Jian Huang +4

To date, genome-wide association studies (GWAS) have successfully identified tens of thousands of genetic variants among a variety of traits/diseases, shedding a light on the genet…