Maximum a-Posteriori Estimation for the Gaussian Mixture Model via Mixed Integer Nonlinear Programming. - Patrick Flaherty; Pitchaya Wiratchotisatian; Ji Ah Lee; Andrew C. Trapp (CoRR, 2019)

Compact Representation of Uncertainty in Hierarchical Clustering. - Craig S. Greenberg; Sebastian Macaluso; Nicholas Monath; Ji Ah Lee; Patrick Flaherty; Kyle Cranmer; Andrew McGregor 001; Andrew McCallum (CoRR, 2020)

Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering. - Sebastian Macaluso; Craig S. Greenberg; Nicholas Monath; Ji Ah Lee; Patrick Flaherty; Kyle Cranmer; Andrew McGregor 001; Andrew McCallum (AISTATS, 2021)

Cost-aware Generalized α-investing for Multiple Hypothesis Testing. - Thomas Cook; Harsh Vardhan Dubey; Ji Ah Lee; Guangyu Zhu 008; Tingting Zhao; Patrick Flaherty (CoRR, 2022)

Maximum a Posteriori Inference for Factor Graphs via Benders' Decomposition. - Harsh Vardhan Dubey; Ji Ah Lee; Patrick Flaherty (CoRR, 2024)