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Events List

Uncertainty Quantification for Structure Learning and Interpretable Machine Learning

Thursday, February 8, 2024 - 10:30 to 11:30
Lili Zheng, Postdoctoral Researcher, Department of Electrical and Computer Engineering, Rice University
Statistics Seminar
ESB 4192 / Zoom
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Probabilistic methods for designing functional protein structures

Tuesday, January 30, 2024 - 10:30 to 11:30
Brian L. Trippe, Postdoctoral Research Fellow, Department of Statistics, Columbia University
Statistics Seminar
ESB 4192 / Zoom
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Toward large-scale Bayesian inference with structured generative models

Friday, January 26, 2024 - 12:15 to 13:15
Ricardo Baptista, von Karman Instructor, Computing and Mathematical Sciences, California Institute of Technology
Statistics Seminar
ESB 4192 / Zoom
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Advancing Biomedical Data Science: Leveraging ChatGPT for genomics data & Testing data-driven hypothesis post-clustering

Thursday, January 25, 2024 - 10:30 to 11:30
Yiqun T. Chen, Data Science Postdoctoral Fellow, Stanford University
Statistics Seminar
ESB 4192 / Zoom
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Identifiable and interpretable nonparametric factor analysis

Thursday, January 18, 2024 - 10:30 to 11:30
Maoran Xu, Postdoctoral Associate, Department of Statistical Science, Duke University
Statistics Seminar
ESB 4192 / Zoom
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Learning-Rate-Free Methods for Scalable Bayesian Inference

Tuesday, January 16, 2024 - 10:30 to 11:30
Louis Sharrock, Senior Research Associate in Statistical Machine Learning, Department of Mathematics and Statistics, Lancaster University
Statistics Seminar
ESB 4192 / Zoom
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The design and analysis of annealing algorithms for sampling and generative modelling

Thursday, January 11, 2024 - 10:30 to 11:30
Saifuddin Syed, Florence Nightingale Bicentenary Research Fellow, Department of Statistics, University of Oxford
Statistics Seminar
ESB 4192 / Zoom
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Quantifying Uncertainty in Clustering Analysis: With Applications in Genetic Data and Phylogenetic Trees

Tuesday, December 12, 2023 - 11:00 to 11:30
Thu Nguyen, UBC Statistics MSc student
Graduate Student Seminar
ESB 4192 / Zoom
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Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

Monday, November 27, 2023 - 10:00 to 11:00
Louis Sharrock, Senior Research Associate in Statistical Machine Learning, Lancaster University
Statistics Seminar
ESB 4192 / Zoom
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Advancements in Probabilistic Circuits for Tractable Probabilistic Inference

Tuesday, November 14, 2023 - 11:00 to 12:00
Martin Trapp, Postdoctoral Researcher, Department of Computer Science, Aalto University
Statistics Seminar
ESB 4192 / Zoom
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