{"id":15003,"date":"2024-08-21T10:23:54","date_gmt":"2024-08-21T08:23:54","guid":{"rendered":"https:\/\/www.uni.lu\/fdef-en\/?post_type=events&#038;p=15003"},"modified":"2024-11-06T14:55:50","modified_gmt":"2024-11-06T13:55:50","slug":"dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/","title":{"rendered":"DEM Lunch Seminar with Martin Bichler, TUM School of Management, DE"},"content":{"rendered":"\n<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<p><\/p>\n\n\n\n<ul class=\"wp-block-unilux-blocks-custom-buttons btn-list\"><li class=\"wp-block-unilux-blocks-custom-button\"    aria-disabled=\"false\"\n    >\n    <a\n        role=\"link\"\n        aria-disabled=\"false\"\n                    href=\"https:\/\/www.eventbrite.fr\/e\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de-registration-999913336707?aff=oddtdtcreator\"\n                target=\"_self\"\n        class=\"btn btn--primary\"\n            >Register<\/a>\n<\/li>\n\n\n<li class=\"wp-block-unilux-blocks-custom-button\"    aria-disabled=\"false\"\n    >\n    <a\n        role=\"link\"\n        aria-disabled=\"false\"\n                    href=\"https:\/\/www.uni.lu\/fdef-en\/calendar?post_type=events&#038;p=15003&#038;calendar\"\n                target=\"_self\"\n        class=\"btn btn--secondary\"\n            >Add to  Calendar<\/a>\n<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Learning in Bayesian Games<\/strong><\/p>\n\n\n\n<p><strong>Abstract:<\/strong><\/p>\n\n\n\n<p>Auctions are modeled as Bayesian games with continuous type and action spaces. Determining equilibria in auction games is computationally hard in general and no exact solution theory is known. We introduce an algorithmic framework in which we discretize type and action space and then learn distributional strategies via online optimization algorithms. We show that the equilibrium of the discretized game approximates an equilibrium in the continuous game. In a wide variety of auction games, we provide empirical evidence that the approach approximates the analytical (pure) Bayes-Nash equilibrium closely. In standard models where agents are symmetric, we find equilibrium in seconds. The method allows for interdependent valuations and different types of utility functions and it provides a foundation for broadly applicable equilibrium solvers that can push the boundaries of equilibrium analysis in auction markets and beyond.&nbsp;<\/p>\n\n\n\n<p><strong>成人头条 Martin Bichler:<\/strong><\/p>\n\n\n\n<p>Martin Bichler<strong> <\/strong>is heading the Decision Sciences &amp; Systems lab and is a full professor at the Department of Computer Science of the Technical 成人头条versity of Munich (TUM). He is also affiliated with the TUM School of Management. Martin received his MSc degree from the Technical 成人头条versity of Vienna, and his Ph. D. as well as his Habilitation from the Vienna 成人头条versity of Economics and Business. He was a research fellow at UC Berkeley, and a research staff member at the IBM T. J. Watson Research Center, Yorktown Heights, New York. Later, he was a visiting scholar at the 成人头条versity of Cambridge, at HP Labs Palo Alto, at the Department of Economics at Yale 成人头条versity, and at the Department of Economics at Stanford 成人头条versity. In the fall 2023, he was a Research Professor at the Simons Laufer Mathematical Sciences Institute &nbsp;in Berkeley. Martin was a president of the INFORMS Section on Auctions and Market Design, an editor-in-chief of the BISE journal, and a fellow of the Agora Group on Market Design at the 成人头条versity of New South Wales. He is the spokesperson of the DFG-funded research training group AdONE, and serves at the editorial board of several journals such as Management Science, Information Systems Research, and Operations Research.<\/p>\n\n\n\n<p><strong>Language:<\/strong> English<\/p>\n\n\n\n<p>This is a free seminar. Registration is mandatory.<\/p>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>DEM Lunch Seminar with Martin Bichler, TUM School of Management. Auctions are modeled as Bayesian games with continuous type and action spaces. Determining equilibria in auction games is computationally hard in general and no exact solution theory is known. We introduce an algorithmic framework in which we discretize type and action space and then learn distributional strategies via online optimization algorithms. We show that the equilibrium of the discretized game approximates an equilibrium in the continuous game.<\/p>\n","protected":false},"author":99,"featured_media":10247,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2024-11-27 13:00:00","event_end_date":"2024-11-27 14:00:00","event_speaker_name":"Martin Bichler","event_speaker_link":"https:\/\/www.professoren.tum.de\/bichler-martin","event_is_online":false,"event_location":"Campus Kirchberg","event_street":"6, rue Richard Coudenhove-Kalergi","event_location_link":"https:\/\/www.uni.lu\/en\/about\/campuses\/kirchberg-campus\/","event_zip_code":"1359","event_city":"Luxembourg","event_country":"Luxembourg"},"events-topic":[298],"events-type":[323,322,315],"organisation":[138,101],"authorship":[99],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Learning in Bayesian Games - FDEF I 成人头条.lu<\/title>\n<meta name=\"description\" content=\"DEM Lunch Seminar with Martin Bichler, TUM School of Management. Auctions are modeled as Bayesian games with continuous type and action spaces. Determining equilibria in auction games is computationally hard in general and no exact solution theory is known. We introduce an algorithmic framework in which we discretize type and action space and then learn distributional strategies via online optimization algorithms. We show that the equilibrium of the discretized game approximates an equilibrium in the continuous game.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DEM Lunch Seminar with Martin Bichler, TUM School of Management, DE\" \/>\n<meta property=\"og:description\" content=\"DEM Lunch Seminar with Martin Bichler, TUM School of Management. Auctions are modeled as Bayesian games with continuous type and action spaces. Determining equilibria in auction games is computationally hard in general and no exact solution theory is known. 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We show that the equilibrium of the discretized game approximates an equilibrium in the continuous game.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/\" \/>\n<meta property=\"og:site_name\" content=\"FDEF EN\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/uni.FDEF.lu\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-06T13:55:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2024\/05\/Lunch-Seminar-DEM.png\" \/>\n\t<meta property=\"og:image:width\" content=\"650\" \/>\n\t<meta property=\"og:image:height\" content=\"665\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/\",\"url\":\"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/\",\"name\":\"Learning in Bayesian Games - FDEF I 成人头条.lu\",\"isPartOf\":{\"@id\":\"https:\/\/www.uni.lu\/fdef-en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.uni.lu\/fdef-en\/events\/dem-lunch-seminar-with-martin-bichler-tum-school-of-management-de\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2024\/05\/Lunch-Seminar-DEM.png\",\"datePublished\":\"2024-08-21T08:23:54+00:00\",\"dateModified\":\"2024-11-06T13:55:50+00:00\",\"description\":\"DEM Lunch Seminar with Martin Bichler, TUM School of Management. 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