ICML - Maggie Macdonald on Feedback

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Machine Learning \u0026 Causality: Building Efficient, Reliable Models for Decision-Making – Maggie Makar

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Maggie Levenstein Keynote

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ICML Client Testimonial - Leadership Development Program at MDA National

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ICML Client Testimonial Leadership Development Program at MDA National part 1

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Christmas at MAG | Pastor Jesse Jernigan (12.22.24)

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Active Learning | Tutorial on Active Learning from Theory to Practice | ICML

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Worship - Sunday December 24, 2024. 11PM Candlelight Service

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Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial

(1:57:7)

SECRET To Publish Research Papers In Top Journals (They Don't Want You To Know)

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Christmas Candlelight Service | December 24th, 2024 | IGMC

(1:57:35)

ICML 2021 - tutorial on synthetic data

(2:9:23)

My Literature Review Workflow - Read over 200 Papers

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MIT EI Seminar - Max Welling - Learning equivariant and hybrid message passing on graphs

(53:47)

#104 Automated Gaussian Processes \u0026 Sequential Monte Carlo, with Feras Saad

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[ICML 2021] Regularizing towards Causal Invariance: Linear Models with Proxies

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[ICML 2020] Estimation of Bounds on Potential Outcomes For Decision Making

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Leadership Development Program: ICML Client Testimonial at MDA National

(2:59)

One Minute Research: Fengdi Che - ICML 2023

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Maggie St-Hilaire Norbal: Minuit Chrétien (Holy Night version française)

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One Minute Research: Brett Daley - ICML 2023

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Michigan AI Symposium 2021 | Trustworthy \u0026 Robust Machine Learning Talks

(25:55)