That $35 that scientific journals charge you to read a paper goes 100% to the publisher, 0% to the authors. If you just email us to ask for our papers, we are allowed to send them to you for free, and we will be genuinely delighted to do so. x.com/mantia/status/…

Numerical Programming in Functional Languages icfp18.sigplan.org/track/npfl-201… submission deadline in the 3 days. Please re-tweet.

New #nlproc blog post: "Design Patterns for Production NLP Systems" deliprao.com/archives/294

Are you a researcher or practitioner at the intersection of formal methods and numerical/high-performance computing? We'd love to receive your abstract or paper and meet you at the workshop! Extended FHPNC'19 submission deadline: Saturday, May 25. icfp19.sigplan.org/home/FHPNC-201…

Verifying myself: I am stites on Keybase.io. _sc0wVLnR8e3FNFwSrvM-_gnNi_OrwtyH0bm / keybase.io/stites/sigs/_s…

1/ New on arXiv: "Amortized Population Gibbs Samplers with Neural Sufficient Statistics" arxiv.org/abs/1911.01382. Work by: Hao Wu (Hao Wu), Heiko Zimmermann (Heiko Zimmermann 🦋 [email protected]), Eli Sennesh (Eli Sennesh), and Tuan Anh Le (Tuan Anh Le). (thread below)

We decided to try to measure it: blog.einstein.ai/eraser-a-bench… byron wallace Sarthak Jain @NeurIPS Nazneen Rajani Richard Socher #NLProc #MachineLearning

1/ New work by Alican (Alican) and Babak (Babak Esmaeili): "Evaluating Combinatorial Generalization in Variational Autoencoders" (arxiv.org/abs/1911.04594) In this paper we ask the question: "To what extent do VAEs generalize to unseen combinations of features?"(thread)

Pyro 1.0 is released: stable APIs, a jit-compatible Predictive helper, new normalizing flows, parallel-scan GPs and state space models, more-automatic AutoGuides, an OED tutorial, FoldedDistribution, and PyroModule[-] to make your nn.Modules Bayesian github.com/pyro-ppl/pyro/…

Freedom and democracy is worth fighting for. PyTorch vs TensorFlow or SGD vs Adam... probably not.

#CallForSubmissions #CallforPapers PROBPROG 2020 is seeking Extended Abstracts & Syndicated Submissions by *Jan 10 2020* for our April 2020 international conference dedicated to probabilistic programming! probprog.cc/#call

I'm very happy to close the decade with a new result: Bayesian updating is lenses - squinting not necessary I believe this establishes the importance of lenses much more strongly than before. In categorical cybernetics they will be absolutely the central concept

we are already drowning in unmanageable complexity of too much software that is ridden with bugs and security flaws, and soon this will be dwarfed by oodles of bug and security flaw ridden synthesized code that fewer and fewer people will be able to maintain and understand.

I’ve got T5 working in hasktorch.

PROBPROG 2021 will take place online on Wed Oct 20 – Fri Oct 22 this year. The deadline for extended abstracts and syndicated submissions is Thu May 6 AOE. See probprog.cc for information and submission instructions!

New working paper: Learning Proposals for Probabilistic Programs with Inference Combinators ArXiv: arxiv.org/abs/2103.00668 Joint work, several years in the making, by Sam Stites* (Sam Stites @[email protected]), Heiko Zimmermann* (Heiko Zimmermann 🦋 [email protected]), Hao Wu (Hao Wu), and Eli Sennesh (Eli Sennesh) [1/]

Interested in inference programming? Learn about work from Heiko Zimmermann 🦋 [email protected] and me at our #uai2021 poster session in 2h (located in gather.town/app/s0Rw7SwyeW… at poster III-C4)!

Excited to present my work with Hao Wu (Hao Wu), Babak Esmaeili (Babak Esmaeili), and Jan-Willem van de Meent (Jan-Willem van de Meent) on Nested Variational Inference at #NeurIPS2021 today. Come and join us in poster session 1 at spot C0.

(1/5) Codex and other LLMs for code are usually benchmarked on a single PL (usually Python). We wanted to know: how do they fare on other languages? Can they generalize across PLs?

Fun fact: I use this Dr. Seuss style rhyme to memoize how Hutton-style parsers are defined ^^ #haskell