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BITESIZE | Understanding Simulation-Based Calibration, with Teemu Säilynoja
Manage episode 492584163 series 2635823
Get 10% off Hugo's "Building LLM Applications for Data Scientists and Software Engineers" online course!
Today’s clip is from episode 135 of the podcast, with Teemu Säilynoja.
Alex and Teemu discuss the importance of simulation-based calibration (SBC). They explore the practical implementation of SBC in probabilistic programming languages, the challenges faced in developing SBC methods, and the significance of both prior and posterior SBC in ensuring model reliability.
The discussion emphasizes the need for careful model implementation and inference algorithms to achieve accurate calibration.
Get the full conversation here.
- Intro to Bayes Course (first 2 lessons free)
- Advanced Regression Course (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!
Visit our Patreon page to unlock exclusive Bayesian swag ;)
Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
161 قسمت
Manage episode 492584163 series 2635823
Get 10% off Hugo's "Building LLM Applications for Data Scientists and Software Engineers" online course!
Today’s clip is from episode 135 of the podcast, with Teemu Säilynoja.
Alex and Teemu discuss the importance of simulation-based calibration (SBC). They explore the practical implementation of SBC in probabilistic programming languages, the challenges faced in developing SBC methods, and the significance of both prior and posterior SBC in ensuring model reliability.
The discussion emphasizes the need for careful model implementation and inference algorithms to achieve accurate calibration.
Get the full conversation here.
- Intro to Bayes Course (first 2 lessons free)
- Advanced Regression Course (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!
Visit our Patreon page to unlock exclusive Bayesian swag ;)
Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
161 قسمت
همه قسمت ها
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1 #137 Causal AI & Generative Models, with Robert Ness 1:38:19




1 #136 Bayesian Inference at Scale: Unveiling INLA, with Haavard Rue & Janet van Niekerk 1:17:37




1 #135 Bayesian Calibration and Model Checking, with Teemu Säilynoja 1:12:13




1 #134 Bayesian Econometrics, State Space Models & Dynamic Regression, with David Kohns 1:40:55


1 BITESIZE | Why Your Models Might Be Wrong & How to Fix it, with Sean Pinkney & Adrian Seyboldt 17:04


1 #133 Making Models More Efficient & Flexible, with Sean Pinkney & Adrian Seyboldt 1:12:12




1 #132 Bayesian Cognition and the Future of Human-AI Interaction, with Tom Griffiths 1:30:15




1 #131 Decision-Making Under High Uncertainty, with Luke Bornn 1:31:46


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