Mark Schmidt (@markschmidtubc) 's Twitter Profile
Mark Schmidt

@markschmidtubc

So machine learning. Very optimization. Wow. Such UBC.

ID: 1515043749524480001

linkhttps://www.cs.ubc.ca/~schmidtm calendar_today15-04-2022 19:06:11

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Mark Schmidt (@markschmidtubc) 's Twitter Profile Photo

For professors working in the rough AI + Health area, this is a pretty wild opportunity. UBC is one of the top schools in Canada and $1 million per year for 8 years will go far here.

Ben Recht (@beenwrekt) 's Twitter Profile Photo

I’m excited to announce that my new book, The Irrational Decision, is available for pre-order from Princeton University Press. press.princeton.edu/books/hardcove…

Mark Schmidt (@markschmidtubc) 's Twitter Profile Photo

The CIFAR Deep Learning and RL Summer School gave me 90 minutes to overview optimization for machine learning. Here is is what I used: cs.ubc.ca/~schmidtm/Docu… (The biggest updates are to step sizes and Adam) What are big issues I missed and/or mis-leading things I included?

Omar Khattab (@lateinteraction) 's Twitter Profile Photo

idk why people say that the VC theory doesn't explain deep learning it looks pretty clear to me that frontier labs managed to figure out generalization under pressure from their VCs

Richard Sutton (@richardssutton) 's Twitter Profile Photo

My acceptance speech at the Turing award ceremony: Good evening ladies and gentlemen. The main idea of reinforcement learning is that a machine might discover what to do on its own, without being told, from its own experience, by trial and error. As far as I know, the first

Percy Liang (@percyliang) 's Twitter Profile Photo

We did a very careful study of 10 optimizers with no horse in the race. Despite all the excitement about Muon, Mars, Kron, Soap, etc., at the end of the day, if you tune the hyperparameters rigorously and scale up, the speedup over AdamW diminishes to only 10% :-( Experiments

Mark Schmidt (@markschmidtubc) 's Twitter Profile Photo

An honourable mention for my former PhD student Fred's thesis. His thesis contributions are excellent examples of "thinking outside the box" and how you can complex topics easier to parse by using lots of visualizations: open.library.ubc.ca/media/stream/p…

Mark Schmidt (@markschmidtubc) 's Twitter Profile Photo

Another nice contribution to the "out-of-distribution detection does not do what you think it does" canon. This was our exploration of similar ideas in 2018: arxiv.org/abs/1809.04729 (The original name of the paper was "Does Your Model Know the Digit 6 Is Not a Cat?")

UBC Computer Science (@ubc_cs) 's Twitter Profile Photo

UBC Computer Science invites applications for up to two full-time tenure-track positions with the following priority areas: visualization, robotics, reinforcement learning, data management, and data mining. Applications are due Wed Dec 10, 2025. cs.ubc.ca/our-department…

UBC Computer Science invites applications for up to two full-time tenure-track positions with the following priority areas: visualization, robotics, reinforcement learning, data management, and data mining. Applications are due Wed Dec 10, 2025. cs.ubc.ca/our-department…