{ "151428-21911585": { "datetime_modified":"20260902T164414", "datetime_start":"20261016T093000", "datetime_end":"20261016T110000", "has_end_time":1, "date_start":"2026-10-16", "date_end":"2026-10-16", "time_start":"09:30:00", "time_end":"11:00:00", "time_zone":"America\/Detroit", "event_title":"IOE Alumni Merit Presentation", "occurrence_title":"", "combined_title":"IOE Alumni Merit Presentation: Creating a world-class\u2004\u200bcustomer\u2004\u200bexperience in\u2004\u200bthe\u2004\u200bworld's\u2004\u200bmost complex service industry", "event_subtitle":"Creating a world-class\u2004\u200bcustomer\u2004\u200bexperience in\u2004\u200bthe\u2004\u200bworld's\u2004\u200bmost complex service industry", "event_type":"Ceremony \/ Service", "event_type_id":"3", "description":"Each year, U-M Industrial and Operations Engineering recognizes an alum who personifies the College of Engineering\u2019s tradition of excellence. 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As a special case, our (asymptotic) results also provide a robust method for achieving always-valid inference in A\/B tests. We further provide a variance reduction technique incorporating modeling assumptions and covariates. Finally, we demonstrate the effectiveness of our proposed approach through a simulation study and three real-world applications from Netflix. Our results show that using our confidence sequence, harmful experiments could be stopped after only observing a handful of units; for instance, our method would have stopped a 30,000 person Netflix experiment after the first 100 people.", "occurrence_notes":null, "guid":"153096-21915074@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/153096", "building_id":"1000167", "building_name":"West Hall", "campus_maps_id":"163", "room":"340", "location_name":"West Hall", "has_livestream":0, "cost":"", "tags":["seminar","Talk","symposium","Lecture","Graduate And Professional Students","Aem Featured"], "website":"", "sponsors":[ { "group_name":"Department of Statistics Seminar Series", "group_id":"3585", "website":"" }, { "group_name":"Department of Statistics", "group_id":"3473", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21915074 } , "149189-21905947": { "datetime_modified":"20260701T112608", "datetime_start":"20261016T100000", "datetime_end":"20261016T113000", "has_end_time":1, "date_start":"2026-10-16", "date_end":"2026-10-16", "time_start":"10:00:00", "time_end":"11:30:00", "time_zone":"America\/Detroit", "event_title":"Bookworm #96-Author Conversation with Amy E. 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