@thvasilo

Machine Learning scientist @amazon. Passed through @ververicaData, @pandoramusic, @spotify. Opinions and retweets my own.

 Seattle, WA
se.linkedin.com/in/thvasilo
Joined August 2014
  • Tweets1.6K
  • Following473
  • Followers516
152Media
After a long and winding road, our work on uncertainty estimation for online regression forests is now published in @JmlrOrg ! Big thanks to my co-authors @gdfm7 and Henrik for sticking through and getting this over the finish line! jmlr.org/papers/v20/19-006.h…
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Andreas Damianou@adamianou28 Sep 2022
Excited to be speaking at the Stanford Graph Learning workshop about GNNs for Spotify RecSys applications! The event is great with lots of interesting talks! Livestream here: youtu.be/GYW286H3SKw

Stanford Graph Learning Workshop 2022

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

youtube.com
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Tianqi Chen
@tqchenml2 Jun 2022
A summer endeavor, developing MLC: the first open lecture series on ML compilation. Machine learning compilation is an emerging field for systematic optimization and deployment of AI workloads. Hope to share adventures and fun with the community mlc.ai/summer22/ 🚀
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EFF
@EFF1 Feb 2022
In our latest episode of “How to Fix the Internet,” comedian and host of @WTFpod @marcmaron and @ProducerMcD tell never-before-shared details of the battle to save podcasting from a patent troll, in a case that EFF took all the way to the Supreme Court. eff.org/deeplinks/2022/01/po…

Podcast Episode: Saving Podcasts from a Patent Troll

Imagine getting a letter in the mail—and then another, and then another—telling you that if you don’t pay $25,000 to a company you’ve never heard of, you’ll have to shut down the small business that

eff.org
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Amazon Science
@AmazonScience3 Jan 2022
ICYMI: The best science career advice we heard in 2021 from @alliekmiller, @DalianaLiu, @sneha_rajana, @crislopeslara, @thvasilo, and many others. Read the full article here: amazon.science/working-at-am…
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Me on my way to a conference
This Post is from an account that no longer exists. Learn more
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Fabian Pedregosa@fpedregosa16 Dec 2021
I'm starting a series of blog posts on "optimization nuggets": short and beautiful proofs in optimization (let me know what you think!). First one shows that SGD converges exponentially fast to a neighborhood of the solution: fa.bianp.net/blog/2021/expon…

Optimization Nuggets: Exponential Convergence of SGD

This is the first of a series of blog posts on short and beautiful proofs in optimization (let me know what you think in the comments!). For this first post in the series I'll show that stochastic...

fa.bianp.net
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Well this is depressing 🥲 quantamagazine.org/will-we-e…

Will We Ever Eradicate COVID-19? | Quanta Magazine

No matter how much we’d like to eradicate SARS-CoV-2, it may be better to settle for other forms of control.

quantamagazine.org
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This is a very well-written intro to the topic of automated reasoning, and glad to see the techniques making their way onto real products. Logic geeks will be happy to see this :)
Amazon Science
@AmazonScience2 Dec 2021
To launch our new research area, @byroncook, head of the AWS Automated Reasoning group, wrote a "gentle introduction" to the field, with some simple code examples (including a two-line illustration of the halting problem). #reInvent #AutomatedReasoning amazon.science/blog/a-gentle…

A gentle introduction to automated reasoning

Meet Amazon Science’s newest research area.

amazon.science
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Bryan Banks@BryanBanksPhD30 Nov 2021
Whoever made this is my new favorite person.
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Don't enjoy the doomscroll news on the right on the Twitter website? Current filter to get rid of them (you're already using uBlock Origin right?) x.com##div.r-1udh08x.r-1ifxtd0.r-rs99b7.r-1phboty.r-1867qdf.r-k0dy70.r-1ysxnx4.css-1dbjc4n:nth-of-type(3)
Theodore Vasiloudis retweeted
Amazon Science
@AmazonScience29 Nov 2021
Join Amazon Scholars Michael I. Jordan, @mkearnsupenn, and Amazon VP and distinguished scientist Bernhard Schölkopf, as they discuss the history of machine learning in the past decade, its social impacts, the role of causal reasoning, and more. Register: amzn.to/315vPkl
A conversation with AI luminaries

ALT A conversation with AI luminaries

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Adi Polak@AdiPolak11 Nov 2021
"It works on My Machine" - MLOps edition:
"It works on My Machine" - MLOps edition:

ALT "It works on My Machine" - MLOps edition:

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Yuan (Terry) Tang
@TerryTangYuan20 Feb 2020
Excited to announce that we've finally released @XGBoostProject v1.0.0! This cannot happen without contributions from over 390 contributors and the support from the community. Thank you! #MachineLearning Release notes: bit.ly/2P7MWsY GitHub repo: bit.ly/2wzcRDl
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Papers with Code
@paperswithcode27 Oct 2021
Graph neural networks are driving lots of progress in machine learning by extending deep learning approaches to complex graph data and applications. Let’s take a look at a few methods ↓
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Omer Levy@omerlevy_12 Oct 2021
What if I told you that fine-tuning T5-Large (0.8B params) on a couple hundred examples could outperform GPT-3 (175B params) on a bunch of tasks?
Yuval Kirstain
@YKirstain12 Oct 2021
I’m thrilled to share our new work “A Few More Examples May Be Worth *Billions* of Parameters”. Joint w/ @PSH_Lewis @riedelcastro @omerlevy_ Paper: arxiv.org/abs/2110.04374 1/4
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Tim Dettmers
@Tim_Dettmers8 Oct 2021
I am excited to share my latest work: 8-bit optimizers – a replacement for regular optimizers. Faster 🚀, 75% less memory 🪶, same performance📈, no hyperparam tuning needed 🔢. 🧵/n Paper: arxiv.org/abs/2110.02861 Library: github.com/facebookresearch/… Video: youtube.com/watch?v=IxrlHAJt…
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Charles 🎉 Frye
@charles_irl7 Oct 2021
MLOps? more like YAMLOps mirite
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Wes McKinney
@wesmckinn8 Oct 2021
Happy to see @ApacheArrow performance and memory use benefits coming to @XGBoostProject github.com/dmlc/xgboost/pull…

Support for building DMatrix from Apache Arrow data format by zhangzhang10 · Pull Request #7283 ·...

Apache Arrow defines a columnar memory format, which allows zero-copy read and lighting fast data access (link). This PR adds support for building xgboost DMatrix from the Apache Arrow data format....

github.com
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Ashudeep Singh
@AshudeepSingh1 Oct 2021
I'm delighted to share that our paper "Fairness in Ranking under Uncertainty" has been accepted to #NeurIPS2021. This is joint work with my advisor Thorsten Joachims and David Kempe from USC. Looking forward to sharing the camera ready version soon! 📄
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