BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250927T190103EDT-7203JvUkPO@132.216.98.100
DTSTAMP:20250927T230103Z
DESCRIPTION:Title: Sparse Causal Learning: Challenges and Opportunities\n\n
 Abstract\n\nIn many observational studies\, researchers are often interest
 ed in studying the effects of multiple exposures on a single outcome. Stan
 dard approaches for high-dimensional data such as the lasso assume the ass
 ociations between the exposures and the outcome are sparse. These methods\
 , however\, do not estimate the causal effects in the presence of unmeasur
 ed confounding. In this paper\, we consider an alternative approach that a
 ssumes the causal effects in view are sparse. We show that with sparse cau
 sation\, the causal effects are identifiable even with unmeasured confound
 ing. At the core of our proposal is a novel device\, called the synthetic 
 instrument\, that in contrast to standard instrumental variables\, can be 
 constructed using the observed exposures directly. We show that under line
 ar structural equation models\, the problem of causal effect estimation ca
 n be formulated as an l0-penalization problem and hence can be solved effi
 ciently using off-the-shelf software. Simulations show that our approach o
 utperforms state-of-art methods in both low-dimensional and high-dimension
 al settings. We further illustrate our method using a mouse obesity datase
 t.\n\nSpeaker\n\nDingke Tang is an assistant professor in the Department o
 f Mathematics and Statistics at the University of Ottawa. He earned his Ph
 D in statistics from the University of Toronto in 2024 and worked as a pos
 tdoctoral researcher at Washington University in St. Louis during 2024-202
 5. Tang has received several awards\, including the Early Career Award fro
 m the Section on Statistics and Epidemiology of the American Statistical A
 ssociation and the Junior Researcher Award from the ICSA China Conference.
 \n\n \n
DTSTART:20250926T193000Z
DTEND:20250926T203000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Dingke Tang (University of Ottawa)
URL:/mathstat/channels/event/dingke-tang-university-ot
 tawa-367929
END:VEVENT
END:VCALENDAR