3 citations · 4 across the 5 of their papers we have counts for
5 papers
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
Jiahe Lin, Yikai Zhang, George Michailidis
Graphical models are widely used in diverse application domains to model the conditional dependencies amongst a collection of random variables. In this paper, we consider settings…
Reweighting Improves Conditional Risk Bounds
Yikai Zhang, Jiahe Lin, Fengpei Li +4
In this work, we study the weighted empirical risk minimization (weighted ERM) schema, in which an additional data-dependent weight function is incorporated when the empirical risk…
Learning to Abstain From Uninformative Data
Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard +5
Learning and decision-making in domains with naturally high noise-to-signal ratio, such as Finance or Healthcare, is often challenging, while the stakes are very high. In this pape…
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen, Wei Deng, Shikai Fang +7
The Schrödinger bridge problem (SBP) is gaining increasing attention in generative modeling and showing promising potential even in comparison with the score-based generative model…
Spherical Triangle Algorithm: A Fast Oracle for Convex Hull Membership Queries
Bahman Kalantari, Yikai Zhang
The it Convex Hull Membership(CHM) problem is: Given a point and a subset of points in , is ? CHM is not only a fundamental problem in Line…