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Title: Causal Effect Inference: A Machine Learning Approach Abstract A major challenge in the domain of healthcare is ascertaining whether a given treatment influences or determines an outcome—for instance, whether […]
Or Cohen, Lyft Machine Learning for Spatio-Temporal Problems May 3, 2021, 5pm: Join Zoom Meeting https://ucsd.zoom.us/j/95036249217?pwd=a2kwSFg2ZXMvc21yMHZLRVR2c0pqUT09 Abstract: Machine learning is used widely at Lyft. A few examples include predicting […]
Title: Unavoidable Tensions in Explaining Algorithmic Decisions Abstract: Recent developments in methods for explaining the decisions of machine learning models have been widely embraced for their ability to provide transparency […]
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 […]
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. […]
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 […]