18 citations · 18 across the 3 of their papers we have counts for
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stat.ML2018
Co-manifold learning with missing data
Gal Mishne, Eric C. Chi, Ronald R. Coifman
Representation learning is typically applied to only one mode of a data matrix, either its rows or columns. Yet in many applications, there is an underlying geometry to both the ro…
stat.ML2018
Recovering Trees with Convex Clustering
Eric C. Chi, Stefan Steinerberger
Convex clustering refers, for given , to the minimization of \begin{eqnarray*} u(γ) & = & \underset{u_1, \dots, u_n }{\arg\min}…
stat.ML2017★ 18 cited
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu, Eric C. Chi, Kenneth Lange
Estimation in generalized linear models (GLM) is complicated by the presence of constraints. One can handle constraints by maximizing a penalized log-likelihood. Penalties such as…