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More robust, decomposable, and explainable AI
What is causal AI (Part 2)
Robert Osazuwa Ness
Nov 3
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More robust, decomposable, and explainable AI
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What is causal AI? (Part 1)
Key motivations for learning causal AI
Robert Osazuwa Ness
Oct 27
1
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What is causal AI? (Part 1)
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A code first Causal AI book
Available on early access, 40% off code valid until end-of-month
Robert Osazuwa Ness
Aug 23
2
1
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A code first Causal AI book
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Beyond Bayes: Automating Human Reasoning
An ICML workshop focused on paths towards universal reasoning systems
Robert Osazuwa Ness
Jun 3
1
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Beyond Bayes: Automating Human Reasoning
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Tripwires
Or, how to avoid Nazi takeovers and other threats with reverse reasoning
Robert Osazuwa Ness
Apr 29
3
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Tripwires
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Christmas Trees and Invariance in Machine Learning
Rotation invariant Christmas trees are trending this year.
Robert Osazuwa Ness
Dec 26, 2021
2
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Christmas Trees and Invariance in Machine Learning
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Thoughts after one month at Microsoft Research
Plus a paradox and an internship opportunity.
Robert Osazuwa Ness
Oct 25, 2021
1
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Thoughts after one month at Microsoft Research
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AI salaries and Chinese tea-boiled eggs
From Chinese A-bombs to exploding AI pay scales.
Robert Osazuwa Ness
Sep 18, 2021
1
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AI salaries and Chinese tea-boiled eggs
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Towards Causal AI
Reverse engineering causal reasoning in humans
Robert Osazuwa Ness
Sep 2, 2021
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Towards Causal AI
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Interventions and "no causation without manipulation"
A rough Internet guide to interventions in causal models.
Robert Osazuwa Ness
Aug 26, 2021
1
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Interventions and "no causation without manipulation"
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Tiger moms, Bach, and Reichenbach
Causal sufficiency and the Causal Frame Problem
Robert Osazuwa Ness
Aug 12, 2021
1
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Tiger moms, Bach, and Reichenbach
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Prenatalomica
Prenatal decision-making by the numbers
Robert Osazuwa Ness
Aug 6, 2021
1
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Prenatalomica
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