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SUMMARY:2026 Right Livelihood International Conference
DESCRIPTION:The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy\, collective intelligence\, and just futures. Bringing together Right Livelihood Laureates\, students\, faculty\, and community partners across continents\, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes\, the conference positions education as a democratic practice and the Right Livelihood College as a steward of dialogue\, student voice\, and long-term institutional learning. \nRegistration is free and open to the public. Sign up to receive conference updates\, session links\, and participation opportunities.
URL:https://events.ucsc.edu/event/2026-right-livelihood-international-conference/
LOCATION:
CATEGORIES:Film Screening,Lectures & Presentations,Meetings & Conferences,Ph.D. Presentations,Seminars,Social Gathering,Training,Undergraduate,Workshop
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DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260423T170905
CREATED:20260331T180549Z
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SUMMARY:AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
DESCRIPTION:Presenter: Dr. Xun Tang\, Stanford University \nDescription: This talk covers an efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format. The two settings we consider are variational inference and density estimation\, whereby one has access to either the unnormalized analytic formula of the distribution or the samples generated from the distribution. In particular\, the compression is done through a two-stage approach. In the first stage\, we use existing subroutines to encode the distribution function in a tensor train format. In the second stage\, we use an NTT ansatz to fit the obtained tensor train. For the NTT fitting procedure\, we use a log barrier term to ensure the positivity of each tensor component\, and then utilize a second-order alternating minimization scheme to accelerate convergence. In practice\, we observe that the proposed NTT fitting procedure exhibits drastically faster convergence than an alternative multiplicative update method that has been previously proposed. Through challenging numerical experiments\, we show that our approach can accurately compress target distribution functions. \nBio: Xun Tang is a postdoc in Stanford University\, department of mathematics\, hosted by Prof. Lexing Ying. Xun works on tensor network methods for scientific computing and data science\, and Xun also works on optimal transport algorithms. Xun will join HKUST department of mathematics in August 2026 as an incoming assistant professor. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-variational-inference-and-density-estimation-with-non-negative-tensor-train/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260423T170905
CREATED:20260331T181211Z
LAST-MODIFIED:20260331T181211Z
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SUMMARY:Statistics Seminar: Hierarchical Clustering with Confidence
DESCRIPTION:Presenter: Snigdha Panigrahi\, Associate Professor\, Department of Statistics\, University of Michigan \nDescription:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate to each other. However\, its greedy nature makes it highly sensitive to small perturbations in the data\, often producing different clustering results and making it difficult to separate genuine structure from spurious patterns. In this talk\, I will show how randomizing hierarchical clustering can be useful not just for measuring stability but also for designing valid hypothesis testing procedures based on the clustering results. We propose a simple randomization scheme to construct valid p-values at each node of a hierarchical clustering dendrogram\, quantifying evidence against greedy merges while controlling the Type I error rate. Our method applies to any linkage without case-specific derivations\, is substantially more powerful than existing selective inference approaches\, and provides an estimate of the number of clusters with a probabilistic guarantee on overestimation. \nBio:Snigdha Panigrahi is an Associate Professor of Statistics at the University of Michigan\, where she also holds a courtesy appointment in the Department of Biostatistics. She received her PhD in Statistics from Stanford University in 2018 and has been a faculty member at Michigan since then. Her research focuses on converting purely predictive machine learning algorithms into principled inferential methods. She is an elected member of the International Statistical Institute\, and her work has been recognized with an NSF CAREER Award and the Bernoulli New Researcher’s Award. Her editorial service\, past and present\, includes Journal of Computational and Graphical Statistics\, Bernoulli\, and Journal of the Royal Statistical Society: Series B. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-hierarchical-clustering-with-confidence/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260420T190000
DTEND;TZID=America/Los_Angeles:20260420T213000
DTSTAMP:20260423T170905
CREATED:20260326T215603Z
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SUMMARY:The Tallest Dwarf—film screening and talk with Julie Wyman
DESCRIPTION:UC Santa Cruz affiliates are invited to a screening and discussion with filmmaker Julie Forrest Wyman. The Tallest Dwarf charts the filmmaker’s quest to find her place within the little people (LP) community at a moment when dwarf identity is poised to radically change. Wyman’s work engages issues of embodiment\, body image\, and the possibilities and problematics of media spectatorship—all informed by her experience of living with hypochondroplasia dwarfism. Julie Wyman will be in conversation after the screening with Pooja Rangan (Professor of English and Film and Media Studies at Amherst College and Visiting Scholar of Visualizing Abolition) and Cynthia Ling Lee (Associate Professor of Performance\, Play & Design\, UC Santa Cruz). \nCo-organized/co-sponsored by the Arts Division’s Film & Digital Media Department\,  “Abolition Medicine and Disability Justice“—a collaborative initiative of five UC campuses\, including Riverside\, Irvine\, Los Angeles\, Santa Cruz\, and San Francisco\, to addresses health disparities in institutions and policy—and The Humanities Institute at UC Santa Cruz.\n—\nADMISSION\n– Free and open to UC Santa Cruz affiliates only\n– Attend in person at Communications Studio C\n—\nPARKING\n– Parking via UCSC permit or ParkMobile\n– Core West is the lot closest to the event\n—\nABOUT THE FILM\nAs Wyman unpacks the rumors of “partial dwarfism” in her family\, she finds that hers is the last of a body type she has inherited. She joins forces with a group of dwarf artists to confront the legacy of being fetishized and put on display. Together they create films that reclaim a complicated history and speak back to the echoes of eugenics in the newly emerging pharmaceutical interventions that make little people taller. Through its personal and expanding perspective\, the film invites audiences to a new way of seeing.\n—\nABOUT THE FILMMAKER\nJulie Forrest Wyman’s 2012 documentary STRONG! premiered at AFI Silverdocs and was broadcast nationally on PBS’s Emmy award-winning series\, Independent Lens\, where it won the series’ Audience Award. Wyman’s work has been awarded support from Sundance\, Sandbox\, IDA\, SF Film Society\, Points North\, ITVS\, the Creative Capital Foundation\, The Princess Grace Foundation\, California Humanities\, and NEH. She has been a fellow at the UC Davis Feminist Research Institute and a resident of SF Film Society’s Filmhouse\, Siena Art Institute\, Logan Nonfiction and Points North. Her films\, including FatMob (2016)\, Buoyant (2005)\, and A Boy Named Sue (2000)\, have aired on Showtime\, MTV’s LOGO-TV\, and have been exhibited on five continents. She serves as Associate Professor of Cinema and Digital Media at UC Davis.\n—\nDownload and share the event flyer here.\n—\nphotographer credit: Gabriella Garcia-Pardo; image description: A group of six LP (little people) performers regard their paper body cut outs on the wall. \n 
URL:https://events.ucsc.edu/event/film-wyman/
LOCATION:Communications Building\, 7487 Red Hill Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Film Screening,Lectures & Presentations,Screening
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