BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250120T151032
DTSTART;TZID=America/Detroit:20250415T130000
DTEND;TZID=America/Detroit:20250415T150000
SUMMARY:Well-being:\"Let's Talk\": Informal\, Drop-In Mental Health Counseling
DESCRIPTION:Trained mental health counselors are now available for drop-in conversations at different times and locations across campus\, including at Trotter\, the Spectrum Center\, South Quad\, the International Center\, and Bursley.\n\nThis informal\, confidential “office hours” style can be a great fit for students unsure about formal counseling\; for those with a specific\, time-limited concern they’d like to talk through\; or those seeking information on campus resources. Please note: this is not meant for crisis or emergency support.\n\n\"Let's Talk\" will run from January 20th 2025 to April 25th 2025. There will be no drop-ins the week of Spring Break (March 3rd - 7th). \n\nMonday: 11:00 am - 1:00 pm with Markie Silverman\, Ph.D.\, LP\, Room 2035 in Trotter Multicultural Center\nTuesday: 1:00 pm - 3:00 pm with Marcella A. Beaumont\, Ph.D.\, Room 3032 in The Spectrum Center (Michigan Union)\nWednesday: 1:00 pm - 3:00 pm with Emily Malinowski\, LMSW\, Room 1721A in South Quad Housing\nThursday: 2:00 pm - 4:00 pm with Ling Liu\, Ph.D. & Chunyu Xu\, M.Ed.\, M.S.Ed.\, Conference Room in the International Center\nFriday: 10:00 am - 12:00 pm with Kayla Douglas\, LMSW\, and Emily Powers\, LLMSW\, Room 2329B in Bursley Housing
UID:131469-21868533@events.umich.edu
URL:https://events.umich.edu/event/131469
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Accessible,Casual,Confidential,Drop-in,free,Health & Wellness,health and wellness,health communication,Inclusion,mental health,Mindfulness,relationship,relationships,Undergraduate,Undergraduate Students,university health service,Well-being
LOCATION:Michigan Union - The Spectrum Center: Room 3032
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250415T150221
DTSTART;TZID=America/Detroit:20250415T130000
DTEND;TZID=America/Detroit:20250415T150000
SUMMARY:Lecture / Discussion:Contributions to Distributed Learning and Selective Inference
DESCRIPTION:The rapid growth and distributed nature of modern datasets pose significant challenges in statistical learning and inference. Privacy concerns often prohibit direct data sharing across sites\, while distributional heterogeneity complicates accurate modeling and inference. Moreover\, high-dimensional data and model selection procedures necessitate statistical methods for valid inference post-selection. This dissertation addresses these challenges by developing methodologies in distributed statistical learning\, inference with heterogeneous data\, and selective inference.\n\nIn the first part of the dissertation\, we propose a novel one-shot distributed learning algorithm via refitting bootstrap samples. We demonstrate that the proposed estimator achieves full-sample statistical rates with only one round of communication of subsample-based statistics in generalized linear models and noisy phase retrieval. We further extend this approach to an iterative algorithm and apply it to convolutional neural networks (CNNs)\, which exhibits superior performances over existing methods in simulation studies.\n\nIn the second part of the dissertation\, we develop a novel one-shot distributed learning algorithm to address cross-site heterogeneity. The proposed method effectively accommodates heterogeneity by allowing nuisance parameters to vary across sites. We show that the proposed estimator attains the full-sample statistical error rate and efficiency with only a single round of communication of local estimators. Our simulation studies support these theoretical findings.\n\nIn the third part of the dissertation\, we introduce an asymptotic pivot to infer about the effects of selected variables on conditional quantile functions. Utilizing estimators from smoothed quantile regression\, our proposed pivot is easy to compute and yields asymptotically-exact selective inference without making strict distributional assumptions about the response variable. By employing external randomization\, our approach fully utilizes the data for both selection and inference\, outperforming traditional methods like data splitting by consistently delivering shorter and more reliable confidence intervals. Simulation studies and an empirical application analyzing risk factors for low birth weight validate the practical efficacy of our method.
UID:135019-21875963@events.umich.edu
URL:https://events.umich.edu/event/135019
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation
LOCATION:West Hall - 470
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250310T173745
DTSTART;TZID=America/Detroit:20250415T130000
DTEND;TZID=America/Detroit:20250415T133000
SUMMARY:Presentation:ICPSR Webinar: Death and Taxes: We Can't Help You Avoid Either\, But We've Got Data!
DESCRIPTION:This 30-minute ICPSR webinar will add some levity to your Tax Day as we highlight data about death and taxes that you probably never knew we had! We've got data about taxes from the early days of America to the present\, taxes on soda and hazardous wastes\, even data about the people who do our taxes. And you don't have to be at death's door to be curious about causes of death or attitudes about aid-in-dying and life after death. We'll also include a brief introduction to applying for restricted death and tax data from the federal government. The topics may be heavy\, but the mood will be light!\n\nThis webinar is free and open to the public. This webinar will be recorded and the recording will be sent to all registrants. Zoom FAQ for Attendees: http://myumi.ch/kx2oo
UID:133674-21873376@events.umich.edu
URL:https://events.umich.edu/event/133674
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data,Data Analysis,Data Curation,Data Management,Data Science,Discussion,Economics,Free,Research,Social Sciences,Statistics,Survey Research,Virtual,Webinar
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250303T063136
DTSTART;TZID=America/Detroit:20250415T130000
DTEND;TZID=America/Detroit:20250415T140000
SUMMARY:Careers / Jobs:Mayo Clinic Laboratory Virtual Careers Webinar (April)
DESCRIPTION:We are thrilled to extend a warm invitation to you for our upcoming Mayo Clinic Laboratory Careers Webinar!Join us for an enlightening session where you will gain valuable insights into the dynamic and rewarding world of laboratory careers at Mayo Clinic. Discover exciting opportunities\, learn about cutting-edge technologies\, and hear firsthand from professionals who have made significant contributions to thefield. Don't miss this chance to explore the diverse paths within the Mayo Clinic laboratories and chart your course towards a fulfilling career. Secure your spot now and embark on a journey of discovery with us!
UID:129907-21864869@events.umich.edu
URL:https://events.umich.edu/event/129907
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250308T174020
DTSTART;TZID=America/Detroit:20250415T130000
DTEND;TZID=America/Detroit:20250415T140000
SUMMARY:Workshop / Seminar:MCDB Seminar> Biting back: How insect herbivores overcome toxic plant defenses
DESCRIPTION:Host: Eran Pichersky
UID:133589-21873279@events.umich.edu
URL:https://events.umich.edu/event/133589
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Biology,Biosciences,Bsbsigns,Natural Sciences,Research,Science
LOCATION:Biological Sciences Building - 1010
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250205T181835
DTSTART;TZID=America/Detroit:20250415T132000
DTEND;TZID=America/Detroit:20250415T135000
SUMMARY:Performance:Eva Albalghiti & Jessi Grieser\, carillon
DESCRIPTION:Graduate student Eva Albalghiti & LSA faculty member Jessi Grieser perform on the Ann & Robert H. Lurie Carillon\, an instrument of 60 bells with the lowest bell (bourdon) weighing 6 tons.\n\nThirty-minute recitals are performed on the Lurie Carillon every weekday that classes are in session. During these recitals\, visitors may take the elevator to level 2 to view the largest bells\, or to level 3 to see the carillonist performing. (Visitors subject to acrophobia are recommended to visit level 2 only.) An optional spiral stairway between levels 2 and 3 allows for up-close views of some of the largest bells.
UID:132414-21870898@events.umich.edu
URL:https://events.umich.edu/event/132414
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Faculty,Free,Music,North Campus,Talk
LOCATION:Lurie Ann & Robert H. Tower
CONTACT:
END:VEVENT
END:VCALENDAR