Daniel Lakeland · @dlakelan
245 followers · 2125 posts · Server mastodon.sdf.org

bigthink.com/13-8/qbism-quantu

A post promising a series about . So far so good, this is worth reading to see where it's headed.

#quantum #bayesianism

Last updated 2 years ago

Luis Ferreira · @lmf
47 followers · 88 posts · Server universeodon.com
Roban Hultman Kramer · @roban
223 followers · 114 posts · Server sigmoid.social

Beyond the applied ML context, I see a lot of connections to the limitations of , utilitarian aggregation / , , , subjective , etc. But would anyone read any of that?

#utilitarianism #populationethics #rationality #longtermism #bayesianism

Last updated 3 years ago

Solal Nathan · @solalnathan
112 followers · 98 posts · Server sigmoid.social

The No Free lunch theorem implies that we need

Ok, let me explain. The fact that there cannot be a general purpose algorithm for everything means that we need a prior to solve a certain problem.

Imagine for example that you want to deblur an image, the more a priori you have, the best you will perform. Is it a face or some text? what is the font? what is the language? what is the type or blur (Gaussian kernel, pixelisation, etc)?

#bayesianism #nfl #ai #machinelearning #bayes

Last updated 3 years ago

Markus Schmaus · @markus_schmaus
1 followers · 1 posts · Server mathstodon.xyz
Victor Gijsbers · @victorgijsbers
388 followers · 219 posts · Server mastodon.gamedev.place

A question for epistemologists! When Bayesians talk about degrees of belief, do they have any resources to explain why a 0.5 degree of belief ('no idea whether it's true or false') is a worse epistemic position to be in than a 0.99 or 0.01 degree of belief ('very confident about my judgement')? My sense is that the answer is 'no', and that Bayesian epistemology turns inquiry into mechanical rule-following rather than a goal-directed rational process.

#epistemology #philosophy #bayesianism

Last updated 3 years ago

Solal Nathan · @solalnathan
74 followers · 58 posts · Server sigmoid.social

Bayes-Ball! ⚾

:arxiv: arxiv.org/abs/1301.7412

Check out this paper on belief networks with the catchiest title I've ever seen

#paper #bayes #bayesianism #PaperThread #beliefnetworks

Last updated 3 years ago

Solal Nathan · @solalnathan
74 followers · 55 posts · Server sigmoid.social

🤔 Bayesian Inference (on graphical models) is NP-hard.

But even worst! every epsilon-approximation is also NP-hard.

Which means that the worst case scenario is (almost certainly) exponential.

Good news is, there are some special cases where approximation or exact inference can be performed efficiently.

📘 Check out more in "Probabilistic Graphical Models: Principles and Technique" by Daphne Koller and Nir Friedman

#bayes #bayesianism #machinelearning #ai #ml #BayesianInference #inference

Last updated 3 years ago

Solal Nathan · @solalnathan
51 followers · 33 posts · Server sigmoid.social

Do you know Judea Pearl?

He bootstrapped the probabilistic approach to IA in his 1988 book
📘 "Probabilistic Reasoning in Intelligent Systems"

He also invented Bayesian Networks and contributed greatly to causality.

Most famous for Pearl's Calculus and the do operator.

🏆 Turing award "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning"

#uncertainty #bayes #bayesianism #IA #ml #machinelearning #researcher

Last updated 3 years ago

Jim Donegan ✅ · @jimdonegan
958 followers · 1954 posts · Server mastodon.scot