{"645680":{"#nid":"645680","#data":{"type":"event","title":"ARC\/ACO Student Seminar: Jingyan Wang (CMU)","body":[{"value":"\u003Cp align = \u0022center\u0022\u003E\u003Cstrong\u003EARC\/ACO Student Seminar \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp align = \u0022center\u0022\u003E\u003Cstrong\u003EJingyan Wang (CMU)\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp align = \u0022center\u0022\u003E\u003Cstrong\u003EFriday, April 2, 2021\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp align =\u0022center\u0022\u003E\u003Cstrong\u003EVirtual via Bluejeans - 12:00 pm\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u0026nbsp;\u003C\/strong\u003ETowards Understanding and Mitigating Biases\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp; \u003C\/strong\u003EThere are many problems in real life that involve aggregating evaluation from people, such as hiring, peer grading and conference peer review. In this talk, I describe three types of biases that may arise in such problems, and propose methods to mitigate them. (1) We consider miscalibration, that is, different people have different calibration scales. We propose randomized algorithms that provably extract useful information under arbitrary miscalibration. (2) We consider the bias induced by the outcome experienced by people. For example, student ratings in teaching evaluation are affected by the grading leniency of the instructors. We propose an adaptive algorithm that debiases people\u0026#39;s ratings under very mild assumptions of the biases. (3) Estimation bias arises when algorithms yield different performance on different subgroups of the population. We analyze the statistical bias (defined as the expected value of the estimate minus the true value) when using the maximum-likelihood estimator on pairwise comparison data, and then propose a simple modification of the estimator to reduce the bias.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E----------------------------------\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cs.cmu.edu\/~jingyanw\/\u0022\u003ESpeaker\u0026#39;s Webpage\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EVideos of recent talks are available at: \u003C\/em\u003E\u003Ca href=\u0022http:\/\/arc.gatech.edu\/node\/121\u0022\u003Ehttp:\/\/arc.gatech.edu\/node\/121\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/mailman.cc.gatech.edu\/mailman\/listinfo\/arc-colloq\u0022\u003EClick here to subscribe to the seminar email list: arc-colloq@Klauscc.gatech.edu \u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Towards Understanding and Mitigating Biases -Virtual via Bluejeans at 12:00pm"}],"uid":"27544","created_gmt":"2021-03-24 17:44:12","changed_gmt":"2021-03-24 17:44:12","author":"Francella Tonge","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-02T13:00:00-04:00","event_time_end":"2021-04-02T14:00:00-04:00","event_time_end_last":"2021-04-02T14:00:00-04:00","gmt_time_start":"2021-04-02 17:00:00","gmt_time_end":"2021-04-02 18:00:00","gmt_time_end_last":"2021-04-02 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"70263","name":"ARC"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}