#NeurIPS

Rachel Thomas

math_rachel

I have long admired @timnitGebru for her brilliance, moral courage, clear voice in speaking up for what is right, & influential scholarship. It is truly terrible that Google would do

Tom Beer

aTomBeer

On the hazards of using of proxy variables in causal inference – a short tweetorial #EpiTwitter #CausalTwitter Unconfoundedness of the treatment-outcome relationship is necessary for causal effect identification. But in

Reza Roboubi

RezaRob

1: @Onyothi thank you so much for explaining the issues and erosion that has happened to various languages, and the lack of internet access in certain rural areas. By the

Travis LaCroix

TravisLacroix

Some thoughts on the recent @NewYorker article, 'Who should stop unethical AI?' [a thread!]https://www.newyorker.com/tech/annals-of-technology/who-should-stop-unethical-ai First, @luke_stark has an excellent thread that highlights s

Luke Stark

luke_stark

The New Yorker has a big piece on AI ethics out today (quoting lots of great folks) -- but with an overall framing that doesn't sit well with me, and

Sam Charrington

samcharrington

It's so frustrating and disappointing to see Google Research discard @timnitGebru like an old garment.Timnit has been such an incredible force for good in AI in so many ways, it's

hardmaru

hardmaru

I respect Pedro's work, and I also really enjoyed his book. But man, I don't know where I should start with this one…https://twitter.com/pmddomingos/status/1336187141366317056 Maybe can start with “Facial feature discovery

Edward Raff

EdwardRaffML

An extension of my NeurIPS work accepted to @RealAAAI #AAAI2021 "Research Reproducibility as a Survival Analysis" is now online! paper https://arxiv.org/abs/2012.09932 code https://github.com/EdwardRaff/Research-Reproducibil

drop

dropmonad

Here's a short and incomplete summary of the lead-up to Anima Anandkumar's cancellation list. Focusing mostly on the time since she started to go after Pedro Domingos since it's most

emilwallner

EmilWallner

Machine learning portfolio tips1. Good ideas come from ML sources that are a bit quirky.- NeurIPS from 1987 - 1997- Stanford’s CS224n & CS231n projects- Twitter likes from ML outliers-

steven t. piantadosi

spiantado

The ideas in the @Harpers letter were destroyed on Twitter yesterday. Here's a thread/meta-thread. Yesterday, a variety of public figures, from @jk_rowling to Malcolm @Gladwell to @SalmanRushdie signed a letter

local oakland enby (non-biney fuit gummy)

WellsLucasSanto

i mention this a lot, but the tweets always seem to mysteriously get buried. a reminder elon musk is *not* the founder of tesla nor of its technologies. he bought

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