{"684015":{"#nid":"684015","#data":{"type":"event","title":"PhD Proposal by Yifan Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EPresentation details\u003C\/strong\u003E:\u003C\/p\u003E\u003Cp\u003ETitle: Learning to Price: From Samples to Queries\u003C\/p\u003E\u003Cp\u003EDate: August 27th, 2025\u003C\/p\u003E\u003Cp\u003ETime: 11:00 AM \u2013 12:00 PM EDT\u003C\/p\u003E\u003Cp\u003ELocation: KACB 3100\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E:\u003C\/p\u003E\u003Cp\u003EProf. Sahil Singla (Advisor), School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EProf. Jan van den Brand, School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EProf. Santosh Vempala, School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EProf. Will Ma, Graduate School of Business and Data Science Institute, Columbia University\u003C\/p\u003E\u003Cp\u003EProf. Rad Niazadeh, Booth School of Business, University of Chicago\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u003C\/p\u003E\u003Cp\u003EIn many everyday transactions, sellers set fixed prices for their goods, and buyers decide whether to purchase based on those prices. This simple process, known as posted pricing, captures the essence of many real-world markets: a seller tags an item with a price, and buyers choose their preferred bundles that maximize personal utility. A standard assumption in models of this process is that buyers\u2019 valuations for items are drawn from underlying distributions. The seller\u2019s challenge is to learn enough about these distributions\u2014through data or interactions with buyers\u2014in order to set prices that achieve desirable outcomes such as maximizing social welfare or revenue.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis proposal investigates the fundamental question of how much information is needed to design effective posted pricing mechanisms when buyers\u2019 valuation distributions are unknown. I study this question under two complementary models of information: the sample model, where the seller can observe data points drawn from buyers\u2019 distributions, and the query model, where the seller only observes which bundle a buyer selects given the current posted prices. My results provide characterizations of the sample and query complexity of posted pricing in several key settings. These findings contribute to a broader understanding of the learnability of market mechanisms under realistic informational constraints, and they provide insights that can guide the design of practical mechanisms in real-world markets.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearning to Price: From Samples to Queries\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Learning to Price: From Samples to Queries"}],"uid":"27707","created_gmt":"2025-08-20 19:11:53","changed_gmt":"2025-08-20 19:11:53","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-08-27T10:00:00-04:00","event_time_end":"2025-08-27T12:00:00-04:00","event_time_end_last":"2025-08-27T12:00:00-04:00","gmt_time_start":"2025-08-27 14:00:00","gmt_time_end":"2025-08-27 16:00:00","gmt_time_end_last":"2025-08-27 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 3100 ","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}