Reconciling business analytics with graphically initialized subspace clustering for optimal nonlinear pricing

CYT Chen, EW Sun, W Miao, YB Lin - European Journal of Operational …, 2024 - Elsevier
The relationship between price and quantity in nonlinear pricing transcends simple
proportionality, as conditional rebates and discounts may be contingent upon the quantity of …

High-dimensional inference for cluster-based graphical models

C Eisenach, F Bunea, Y Ning, C Dinicu - Journal of machine learning …, 2020 - jmlr.org
Motivated by modern applications in which one constructs graphical models based on a very
large number of features, this paper introduces a new class of cluster-based graphical …

Modern Optimization for Statistics and Learning

CM Eisenach - 2019 - search.proquest.com
Traditional problems in statistics and machine learning are relatively well understood–they
often feature low dimensionality, convex loss functions, and independent, identically …

[引用][C] Efficient First-Order Methods for Peng-Wei Semi-definite Programming with application to optimal clustering

X Li - 2020