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UID:20250512T085005EDT-3260psjGpP@132.216.98.100
DTSTAMP:20250512T125005Z
DESCRIPTION:Huimin Cheng\, PhD\n\nAssistant Professor\n	Department of Biosta
 tistics |\n	Boston University\n\nWHEN: Wednesday\, Sept 11\, 2024\, from 3:
 30 to 4:30 p.m.\n	WHERE: Hybrid | 2001 ɬÀï·¬ College Avenue\, Rm 1201 | Zo
 om\n	NOTE: Huimin Cheng will be presenting from Boston\n\nAbstract\n\nGraph
 on\, short for graph function\, provides a generative model for networks. 
 In recent decades\, various methods for graphon estimation have been propo
 sed. The success of most graphon estimation methods depends on the proper 
 specification of hyperparameters. While some network cross-validation meth
 ods have been proposed\, they suffer from restrictive model assumptions\, 
 expensive computational costs\, and a lack of theoretical guarantees. To a
 ddress these issues\, we propose a graphon cross-validation (GraphonCV) me
 thod. The asymptotic properties of GraphonCV are established. The effectiv
 eness of the proposed method in terms of both computation and accuracy is 
 demonstrated through extensive simulation studies and real drug repurposin
 g examples.\n\nSpeaker Bio\n\nDr. Huimin Cheng is an Assistant Professor i
 n the Department of Biostatistics at Boston University and a Rafik B. Hari
 ri Junior Faculty Fellow. She received her Ph.D. in statistics from the Un
 iversity of Georgia in 2023. Her methodological research focuses on statis
 tical network analysis\, graph deep learning\, causal inference\, machine 
 learning\, and Riemannian geometry. For more information\, please visit: h
 ttps://sites.google.com/view/huimincheng/home/.\n
DTSTART:20240911T193000Z
DTEND:20240911T203000Z
SUMMARY:Graphon Cross-Validation with Application to Drug Repurposing
URL:/epi-biostat-occh/channels/event/graphon-cross-val
 idation-application-drug-repurposing-359031
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