{"id":25703,"date":"2022-09-23T09:13:02","date_gmt":"2022-09-23T06:13:02","guid":{"rendered":"https:\/\/w3.bilkent.edu.tr\/tr\/?p=25703"},"modified":"2022-10-04T08:38:49","modified_gmt":"2022-10-04T05:38:49","slug":"ie-semineri-decision-aware-learning-for-global-health-supply-chains-hamsa-bastani-1600-30-eylul-en","status":"publish","type":"post","link":"https:\/\/w3.bilkent.edu.tr\/tr\/ie-semineri-decision-aware-learning-for-global-health-supply-chains-hamsa-bastani-1600-30-eylul-en\/","title":{"rendered":"IE Semineri: \u201cDecision-Aware Learning for Global Health Supply Chains\u201d, Hamsa Bastani, 16:00 30 Eyl\u00fcl (EN)"},"content":{"rendered":"<p>&#8220;Decision-Aware Learning for Global Health Supply Chains&#8221; by Hamsa Bastani, University of Pennsylvania<br \/>\nSpeaker: Hamsa Bastani, University of Pennsylvania<\/p>\n<p>Date &amp; Time: September 30, 2022, Friday 16:00<\/p>\n<p>***This is an online seminar. To obtain the event link, please send a message to department.<\/p>\n<p>Title: Decision-Aware Learning for Global Health Supply Chains<\/p>\n<p>Abstract: The combination of machine learning (for prediction) and<br \/>\noptimization (for decision-making) is increasingly used in practice.<br \/>\nHowever, a key challenge is the need to align the loss function used to<br \/>\ntrain the machine learning model with the decision loss associated with the<br \/>\ndownstream optimization problem. Traditional solutions have limited<br \/>\nflexibility in the model architecture and\/or scale poorly to large datasets.<br \/>\nWe propose a principled decision-aware learning algorithm that uses a novel<br \/>\nTaylor expansion of the optimal decision loss to derive the machine learning<br \/>\nloss. Importantly, our approach only requires a simple re-weighting of the<br \/>\ntraining data, allowing it to flexibly and scalably be incorporated into<br \/>\ncomplex modern data science pipelines, yet producing sizable efficiency<br \/>\ngains. We apply our framework to optimize the distribution of essential<br \/>\nmedicines in collaboration with policymakers at the Sierra Leone National<br \/>\nMedical Supplies Agency; highly uncertain demand and limited budgets<br \/>\ncurrently result in excessive unmet demand. We leverage random forests with<br \/>\nmeta-learning to learn complex cross-correlations across facilities, and<br \/>\napply our decision-aware learning approach to align the prediction loss with<br \/>\nthe objective of minimizing unmet demand. Out-of-sample results demonstrate<br \/>\nthat our end-to-end approach significantly reduces unmet demand across<br \/>\n1000+ health facilities throughout Sierra Leone. (Joint work with O.<br \/>\nBastani, T.-H. Chung and V. Rostami).<\/p>\n<p>Bio: Hamsa Bastani is an Assistant Professor of Operations, Information, and<br \/>\nDecisions at the Wharton School, University of Pennsylvania. Her research<br \/>\nfocuses on developing novel machine learning algorithms for data-driven<br \/>\ndecision-making, with applications to healthcare operations, social good,<br \/>\nand revenue management. Her work has received several recognitions,<br \/>\nincluding the Wagner Prize for Excellence in Practice (2021), the Pierskalla<br \/>\nAward for the best paper in healthcare (2016, 2019, 2021), the Behavioral OM<br \/>\nBest Paper Award (2021), as well as first place in the George Nicholson and<br \/>\nMSOM student paper competitions (2016).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Decision-Aware Learning for Global Health Supply Chains&#8221; by Hamsa Bastani, University of Pennsylvania Speaker: Hamsa Bastani, University of Pennsylvania Date &amp; Time: September 30, 2022, Friday 16:00 ***This is an online seminar. To obtain the event link, please send a message to department. Title: Decision-Aware Learning for Global Health Supply [\u2026] <\/p>\n<div class=\"clear\"><\/div>\n<p><a class=\"more_link clearfix\" href=\"https:\/\/w3.bilkent.edu.tr\/tr\/ie-semineri-decision-aware-learning-for-global-health-supply-chains-hamsa-bastani-1600-30-eylul-en\/\" rel=\"nofollow\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-25703","post","type-post","status-publish","format-standard","hentry","category-eskipostlar"],"_links":{"self":[{"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/posts\/25703","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/comments?post=25703"}],"version-history":[{"count":1,"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/posts\/25703\/revisions"}],"predecessor-version":[{"id":25704,"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/posts\/25703\/revisions\/25704"}],"wp:attachment":[{"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/media?parent=25703"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/categories?post=25703"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/tr\/wp-json\/wp\/v2\/tags?post=25703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}