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Title: Some Results on Label Shift and Label Noise Abstract: In this talk I will discuss distribution shift, both as an obstacle to be overcome to achieve generalization, and as a device for obtaining generalization guarantees. In the first part, I will discuss the problem of label shift, where the proportion among the labels can […]
Zoom ID: https://cuboulder.zoom.us/j/2251625831 Password: i-aim Jianwei (John) Miao, UCLA "Determining the 3D Atomic Structures of Non-Crystalline Materials" Abstract: TBA About the Speaker: TBA
Title: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives Abstract: Much of the recent focus in machine learning has been on the pattern-recognition side of the field. I will focus instead on the decision-making side, where many fundamental challenges remain. Some are statistical in nature, including the challenges associated with multiple decision-making, […]
Zoom ID: https://cuboulder.zoom.us/j/96007553384 Password: i-aim Nicholas Kotov (U Michigan) "Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites" Abstract: Descriptors based on graph theory (GT) are needed to achieve accurate representations of two classes of nanostructures for the successful application of machine learning (ML). First, a method to depict protein structure at molecular, nanoscale, and sub-microscale levels […]
Please join us on Tuesday, June 1 @ 2:00 pm for a ZOOM talk by Berk Ustun. The talk will be about 45 minutes and will be followed by a 30 minute Q&A.Title: Recourse in Machine LearningAbstract: Machine learning models are often used to automate decisions that affect humans: whether to approve a loan, extend a […]
Zoom ID: https://cuboulder.zoom.us/j/2251625831 Password: i-aim Leonidas Guibas, Stanford University TBA Abstract: TBA About the Speaker: TBA
Details Exploration Problem in Sequential Decision Making: A Computational Perspective by Yian Ma Abstract: Efficient Exploration is often the bottleneck for solving sequential decision making problems. Many different approaches have been proposed and analyzed, such as explore-then-commit, upper confidence bound, etc. Much of the focus has been on using frequentist perspectives to understand and develop […]