Daniel Roy

@roydanroy
11 Followers
160 Following
80 Posts
Scientist. Assoc Prof of Stats/CS @UofT; Founding Member @VectorInst; Canada CIFAR AI Chair. I study inference / computation to understand machine intelligence.
Thinking about moving this account to sigmoid. How's that working out for those who did? I find there's too much noise on mastodon.social, but I also think this is maybe just the fact that there's no algorithm.

Given the discussion about algorithmic feeds, I thought it might be relevant to point to my written testimony for the US Senate, which covers
- How does social media ranking and recommendation work?
- What are typical objectives and metrics?
- How can we assess algorithmic amplification?

https://www.commerce.senate.gov/services/files/62102355-DC26-4909-BF90-8FB068145F18

Live look at my household right now
@shamoons May be too exciting for some readers.
@roydanroy
- Handbook of Causal Analysis for Social Research (Morgan, 2013)
- Causality (Pearl,2009)

New paper by Filmus, Hanneke, Mehalel, and Moran.

Looks very interesting:

https://yuvalfilmus.cs.technion.ac.il/Papers/K_realizable_learning_paper.pdf

Randomized Littlestone dimension for optimal expected mistake bounds by randomized learners.

@roydanroy that you felt bad about your original copy being from libgen?
@roydanroy good question!
not work-related but I'm really enjoying Underland: A Deep Time Journey
@roydanroy You could maybe place a copy on reserve at your department's library for your students and others to enjoy, or maybe Karolina could use a copy if she doesn't have one.
@kordinglab Hahahah. ... hah.... ha..... hey.