Victor Quach

Researcher | Machine Learning PhD from @MIT_CSAIL | @Polytechnique alum (X2014)

[Iain Dunning @iaindunning]

Did a quick interview with
@carolmassar @timsteno at Bloomberg Invest, some quick thoughts on AI for productivity and for markets https://t.co/K5HBMOtFTd

[Gappy (Giuseppe Paleologo) @__paleologo]

A minor lesson I learned. Hudson River Trading has large cafeterias in all of its centers. And an abnormal amount of communal spaces (alcoves, booths, meeting room). You sit for lunch and talk to strangers or old friends. I estimate that premier real estate space (and the chef-served lunches) to cost $20-30m/yr. It is a 100x return/yr.

Eating together is how you get people to lower their defenses, talk, trust others, collaborate, create alliances since the Pleistocene.

And the lesson is that you can win at technology by going back to very simplest, ancestral things.

[Hudson River Trading @WeAreHRT]

HRT AI Labs (HAIL) is building some of the fastest and most predictive deep learning models in trading.

There’s only one way to see these systems in action: Join, and help us build them.

https://t.co/8oqFMFlWUd

[Iain Dunning @iaindunning]

Are you a researcher at OAI/Anthropic/etc and tired of overhiring, the orgchart chaos, the lowered talent bar, want to move to NYC, or just want to do something different? Email me, DM me, mail a postcard. We've got a new datacenter full of B200s, tight team, and very successful.

[Hudson River Trading @WeAreHRT]

There are few places in the world where you can train deep learning models at scale. Last week at @Stanford, HRT AI Labs (HAIL) senior researcher Marc discussed training foundation models robust to market regime shifts on massive datasets and under low-latency demands.

[Victor Quach @Varal7]

@DrJimFan The idea of repeatedly sampling at inference time is not novel https://t.co/nXdD1rJ6ZV. What’s hard is: (for academics) quantifying the improvement and deriving the scaling laws, and (for the industry) productionizing it correctly

[Victor Quach @Varal7]

@ronawang @ronawang DM if you want a referral

[Adam Fisch @adamjfisch]

Excited to share a new pre-print on "Conformal Language Modeling".

LMs sample generations from an unbounded output space. We extend conformal prediction to handle this sort of prediction process, and give it rigorous performance guarantees.

Paper: https://t.co/bsrPpsasZS

[Victor Quach @Varal7]

@menghua_wu @mayhewsw hahaha yes

[Victor Quach @Varal7]

@JamesADiao To be fair, black’s moves are plausible answers to white’s moves if you only consider the last few previous moves. In fact, ChatGPT originally plays 27. … Rg2# (https://t.co/as3YtEm3F8)

[YujiaBao @yujia_bao]

Perplexed to announced that Learning to Split with 6-6-8 reviews has been rejected #NeurIPS2022 😂
Nonetheless, I am excited to present our manuscript + code: learn to split any dataset with one line of code to break your model’s generalization. (1/3)
https://t.co/vIkZpMJmat

[Adam Fisch @adamjfisch]

Very excited to share our work on Conformal Risk Control.

We give a calibration algorithm that is not only remarkably simple, but also comes with elegant and powerful theoretical guarantees on its ability to control any monotone risk—not just coverage (like CP).

Check it out!

[YujiaBao @yujia_bao]

Need to debias your new task? Learn how, from your old one.

Check out our #ICML2022 paper "Learning Stable Classifiers by Transferring Unstable Features" with @CodeTerminator and @BarzilayRegina

Paper -> https://t.co/7M3XcsSd4o
Code -> https://t.co/qOZYZlJ53a

[Victor Quach @Varal7]

@unsorsodicorda @MilesCranmer 1e6 is a float while 1_000_000 is an int

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

Congratulations to Regina Barzilay, Jameel Clinic AI Faculty Lead, for being elected by @aimbe to its College of Fellows.

Dr. Barzilay was nominated for her breakthrough contributions in machine learning for early cancer diagnosis and drug discovery.

https://t.co/GTP1v9YNJZ

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

Adam Yala (@YalaTweets) and his team at Jameel Clinic have published their new paper "Robust Mammography-based Models for Breast Cancer Risk" in @ScienceTM.

"Mirai," the mammography-based model, achieves consistent accuracy across diverse populations: https://t.co/TBfRtm1Yru

[Papers with Code @paperswithcode]

🎉 Papers with Code partners with arXiv! Code links are now shown on arXiv articles, and authors can submit code through arXiv. Read more: https://t.co/kO6zhWAWGH

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

We are excited to announce the AI Cures Conference: Data-driven Clinical Solutions for COVID-19, which will take place online on September 29th.

Learn more and register here, spots are limited: https://t.co/K5oQNzQL67

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

On Friday, August 21 at 8pm ET, Greater Boston’s beloved Coolidge Corner Theater (@thecoolidge) is hosting a virtual premiere of From Controversy to Cure, a documentary film chronicling the biotech boom in Cambridge.

Learn more and watch it here: https://t.co/4UsfxLbCgH