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DTSTAMP:20240219T170047
DTSTART;TZID=America/Detroit:20240328T143000
DTEND;TZID=America/Detroit:20240328T160000
SUMMARY:Workshop / Seminar:LLMs\, Prompting\, and What This Means
DESCRIPTION:In this workshop participants will delve into the world of Large Language Models (LLMs) to understand their impact and application across research and education. The session will explore the mechanics behind LLMs\, showcasing how these advanced AI systems interpret and respond to prompts\, thereby generating high quality text. It aims to equip attendees with knowledge on effectively using prompts to guide LLM outputs\, highlighting practical use cases and the broader implications of this technology in transforming communication\, creativity\, and problem-solving strategies.\n\nRegister today: https://umich.zoom.us/meeting/register/tJYvc-iupzsuHdH-_fdsKrOXkGJF920-GOGF
UID:119056-21842137@events.umich.edu
URL:https://events.umich.edu/event/119056
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,Genai,Generative Ai,Prompt Engineering,Teaching And Learning,Training,Virtual,Academic Technology At Michigan
LOCATION:Off Campus Location - https://www.google.com/url?q=https://umich.zoom.us/meeting/register/tJYvc-iupzsuHdH-_fdsKrOXkGJF920-GOGF&sa=D&source=calendar&ust=1708789247545027&usg=AOvVaw0QwcOqnaMrlDF5B5rFoH4J
CONTACT:
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DTSTAMP:20240322T104439
DTSTART;TZID=America/Detroit:20240328T150000
DTEND;TZID=America/Detroit:20240328T160000
SUMMARY:Lecture / Discussion:2024 Annual Robertson Lecture
DESCRIPTION:Join us for an afternoon of profound insight and captivating verse with LSA Residential College alumna\, Nandi Comer\, the current Poet Laureate of Michigan. \n\nDrawing from her rich Detroit roots\, Comer's poetry delves into the city's history while exploring themes of race\, gender\, sexuality\, and class.\n\nAuthor of acclaimed works like \"American Family: A Syndrome\" and \"Tapping Out\,\" which earned her prestigious awards\, including the 2020 Society of Midland Authors Award and the 2020 Julie Suk Award\, Comer's talent shines through her powerful storytelling. As a Cave Canem Fellow\, a Callaloo Fellow\, and a 2019 Kresge Arts in Detroit Fellow\, she brings a wealth of experience and depth to her craft. \n\nDon't miss this opportunity to witness the artistry of a true literary trailblazer!
UID:120593-21845006@events.umich.edu
URL:https://events.umich.edu/event/120593
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Books,Activism,Talk,Poetry,Literature,Diversity
LOCATION:East Quadrangle - Keene Theater
CONTACT:
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DTSTAMP:20240325T091958
DTSTART;TZID=America/Detroit:20240328T150000
DTEND;TZID=America/Detroit:20240328T160000
SUMMARY:Workshop / Seminar:899 Seminar Series: Qiaomin Xie\, U-W Madison ISyE
DESCRIPTION:Bio:\nQiaomin Xie is an assistant professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. Her research interests lie in the fields of reinforcement learning\, applied probability\, game theory\, and stochastic networks\, with applications to computer and communication networks. She was previously a visiting assistant professor at the School of Operations Research and Information Engineering at Cornell University (2019-2021). Prior to that\, she was a postdoctoral researcher with LIDS at MIT. Qiaomin received her Ph.D. in Electrical and Computing Engineering from the University of Illinois Urbana-Champaign in 2016. She received her B.S. in Electronic Engineering from Tsinghua University. She is a recipient of the NSF CAREER Award\, the JPMorgan Faculty Research Award\, Google Systems Research Award\, and the UIUC CSL Ph.D. Thesis Award.\n\nAbstract: \nMany reinforcement/machine learning problems involve loss minimization\, min-max optimization\, and fixed-point equations\, all of which can be cast under the framework of Variational Inequalities (VIs). Stochastic methods like SGD\, SEG\, and TD/Q Learning are prevalent\, and their constant stepsize versions have gained popularity due to effectiveness and robustness. Viewing the iterates of these algorithms as a Markov chain\, we study their fine-grained probabilistic behavior. In particular\, we establish finite-time geometric convergence of the iterates distribution and relate the ergodicity properties of the Markov chain to the characteristics of the VI\, algorithm\, and data.\n\nUsing techniques of coupling and basic adjoint relationship\, we characterize the limit distribution and how its bias depends on the stepsize. For smooth problems\, exemplified by TD learning and smooth min-max optimization\, the bias is proportional to the stepsize. For nonsmooth problems\, exemplified by Q-learning and generalized linear model with nonsmooth link functions (e.g.\, ReLU)\, the bias has drastically different behavior and scales with the square root of the stepsize. \n\nThis precise probabilistic characterization allows for variance reduction via tail-averaging and bias reduction via Richardson-Romberg extrapolation. The combination of constant stepsize\, averaging\, and extrapolation provides a favorable balance between fast mixing and low long-run error\, and we demonstrate its effectiveness in statistical inference compared to traditional diminishing stepsize schemes.
UID:120676-21845119@events.umich.edu
URL:https://events.umich.edu/event/120676
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:899 Seminar Series,Industrial And Operations Engineering,seminar
LOCATION:Industrial and Operations Engineering Building - 2717
CONTACT:
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DTSTAMP:20240320T160619
DTSTART;TZID=America/Detroit:20240328T150000
DTEND;TZID=America/Detroit:20240328T170000
SUMMARY:Lecture / Discussion:Ancient Philosophy Colloquium
DESCRIPTION:Title: “Stoic Anti-Slavery”\nAbstract: The scholarly consensus is that only a few obscure Greek or Roman philosophers opposed slavery\, but this ignores excellent evidence (Diogenes Laertius 7.121–22) that prominent Greek Stoics did. Why has this evidence been widely overlooked? This essay considers three reasons. One is primarily historical\, turning on some possible counter-evidence from Roman Stoics. But two are surprisingly relevant. They rest on assumptions about what a person has to believe and do in order to be opposed to slavery\, and similar assumptions are in play in current debates about what a person has to believe and do in order to be opposed to white supremacy or other forms of social injustice. I argue that the early Greek Stoics were in fact opposed to slavery and that their Stoic way of opposing injustice is respectable.
UID:119125-21842241@events.umich.edu
URL:https://events.umich.edu/event/119125
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Philosophy
LOCATION:Angell Hall - 3222 AH
CONTACT:
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