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Elina Robeva: Learning causal models via algebraic constraints

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Math Modeling & Disease Dynamics - ICIAM 2011

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Mathematics of Machine Learning and the Ising Model (Clement Hongler) | Ep. 9

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Thijs van Ommen: Graphical Representations for Algebraic Constraints of Linear Structural Models

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Elina Robeva: 'Hidden Variables in Linear Non-Gaussian Causal Models'

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Algebraic Multigrid I Ulrike Meier Yang, LLNL

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SI(AG)^2 Early Career Prize Lecture: Elina Robeva: Orthogonal Tensor Decomposition

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Biomathematics Decoded: Intro to Mathematical Modeling & More

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OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale

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Alena Pirutka: Algebraic cycles on varieties over finite fields

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Edmentum Algebra1 Unit 5 Activity

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Keynote: The Mathematics of Causal Inference: with Reflections on Machine Learning

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Ordinary Differential Equations 1: Applications and Solution Characteristics

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Constanze Roitzheim : How algebraic is a stable model category?

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