{"683591":{"#nid":"683591","#data":{"type":"event","title":"Machine Learning Seminar Series Spring 2026 | Explainable Machine Learning through Efficient Data Attribution","body":[{"value":"\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EGradient-based data attribution methods, such as influence functions, are critical for understanding the impact of individual training samples without repeated model retraining. However, their scalability is often limited by the high computational and memory costs associated with per-sample gradient computation, especially for large-scale models and datasets. In this talk, I will present our recent work on scalable influence function computation through sparse gradient compression and projection techniques with provable guarantees. I will also discuss how these methods can be applied to real-world scenarios, such as online reinforcement learning where data filtering interacts with policy learning.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Han Zhao is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC). He is also an Amazon Scholar at Amazon AI. Dr. Zhao earned his Ph.D. degree in machine learning from Carnegie Mellon University. His research interest is centered around trustworthy machine learning, with a focus on algorithmic fairness, robust generalization and data interpretability. He has been named a Kavli Fellow of the National Academy of Sciences. His research has been recognized through an NSF CAREER Award, a Google Research Scholar Award, an Amazon Research Award, and a Meta Research Award.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EFor more information, or for CODA guest access, please contact \u003C\/strong\u003E\u003C\/em\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022 title=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cem\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EJoin Via Zoom: \u003C\/strong\u003E\u003C\/em\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/98188267850?pwd=SOTPAZaZm0qkaiGxezfwMFaIbP1eeI.1\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/98188267850?pwd=SOTPAZaZm0qkaiGxezfwMFaIbP1eeI.1\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/98188267850?pwd=SOTPAZaZm0qkaiGxezfwMFaIbP1eeI.1\u003C\/a\u003E\u003Cbr\u003EMeeting ID: 981 8826 7850\u0026nbsp;\u003Cbr\u003EPasscode: 520805\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12pm - 1pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Assistant Professor - Department of Computer Science, University of Illinois Urbana-Champaign"}],"uid":"27863","created_gmt":"2025-08-06 17:06:21","changed_gmt":"2026-01-21 20:48:00","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-04T12:00:00-05:00","event_time_end":"2026-02-04T13:00:00-05:00","event_time_end_last":"2026-02-04T13:00:00-05:00","gmt_time_start":"2026-02-04 17:00:00","gmt_time_end":"2026-02-04 18:00:00","gmt_time_end_last":"2026-02-04 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Zoom","extras":[],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"},{"id":"9167","name":"machine learning"},{"id":"654","name":"College of Computing"},{"id":"102221","name":"analytics and big data"}],"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":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EFor more information, or for CODA guest access, please contact \u003C\/strong\u003E\u003C\/em\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022 title=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cem\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}