AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
Jack Baskin Engineering Building, 372
Week of Events
2026 Right Livelihood International Conference
The Right Livelihood International Conference is a four-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 […]
Monday, April 20, 2026
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April 20, 2026AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
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April 20, 2026Statistics Seminar: Hierarchical Clustering with Confidence
AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
Presenter: Dr. Xun Tang, Stanford University Description: 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 […]
Statistics Seminar: Hierarchical Clustering with Confidence
Presenter: Snigdha Panigrahi, Associate Professor, Department of Statistics, University of Michigan Description: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 […]
Tuesday, April 21, 2026
No events on this day.
Wednesday, April 22, 2026
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April 22, 2026CSE Colloquium – Robust Machine Learning for Biomedical Data: Efficiency, Reliability, and Generalizability
CSE Colloquium – Robust Machine Learning for Biomedical Data: Efficiency, Reliability, and Generalizability
Presenter Chenyu You, Stony Brook University Abstract In the rapidly growing area of machine learning, there is profound promise in crafting intelligent, data-driven methods for diverse real-world applications. Yet, in safety-critical domains like healthcare, some fundamental challenges remain: (1) The insufficiency of raw biomedical data emphasizes the need for data-efficient and robust learning approaches. (2) […]
Thursday, April 23, 2026
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Friday, April 24, 2026
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Saturday, April 25, 2026
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Sunday, April 26, 2026
No events on this day.