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SUMMARY:Orchestrated Approximate Message Passing: A New Way of Information
  Integration from Multimodal Data
DTSTART:20231219T141500
DTEND:20231219T151500
DTSTAMP:20260407T042237Z
UID:2ece897fa751489c36e2ee384152a8bc2312510f7d7c69063f8d0f74
CATEGORIES:Conferences - Seminars
DESCRIPTION:Sagnik Nandy (UPenn)\nIntegrating information from multiple co
 rrelated datasets is a crucial aspect of modern data science. Despite the 
 existence of numerous methods for this purpose\, their statistical propert
 ies remain unclear\, making valid statistical inference challenging. In t
 his talk\, I shall introduce Orchestrated Approximate Message Passing for 
 integrating information across multiple correlated datasets. This method 
 is both computationally efficient and statistically optimal under certain 
 stylized models. Subsequently\, I shall show how to apply this technique 
 to tackle two distinct problems\, namely community detection in a balanced
 \, two-community\, contextual stochastic block model and compressed sensin
 g in the presence of network-side information.
LOCATION:GA 3 21 https://plan.epfl.ch/?room==GA%203%2021
STATUS:CONFIRMED
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