Miguel Rios Gaona

I am pleased to announce that I have updated the online versions of my 2 textbooks (see probml.github.io/pml-book/): I fixed all issues listed on github, added some new references (esp on LLMs), and made a few other small tweaks.

My book is (at last) out, just in time for Christmas! A blog post to celebrate and present it: francisbach.com/my-book-is-out/

If these goals resonate with you, please consider voting for me. You can read more about my vision and plans here: naacl.org/elections/2025… Let’s build a more inclusive NAACL together! ✨ #NAACL #NAACL2025Election #DiversityInNLP #GlobalNLP

300+ CS books in open access so you can download the PDFs link.springer.com/search?package… Some examples below... 1/2

#EAMT2024 proceedings are now available at the ACL anthology: aclanthology.org/events/eamt-20… #NLProc #MachineTranslation

A new 🆕 study highlights the potential of instruction tuning to enhance the accuracy 👌 and consistency of #LLMs in translating medical 🧬texts. #translation #xl8 #t9n #machinetranslation #MT #LLM @mriosb08 slator.com/instruction-tu…

Meet part of the LT-LiDER project group at the poster session @EAMT_2024! with @Jossmo @mriosb08 @HackenbuchnerJ @NAranberri María Isabel Rivas Ginel @AnaGuerberof

#EAMT2024 proceedings are out! Check them at eamt2024.sheffield.ac.uk/programme/proc… #NLProc #MachineTranslation

_Unsure_ about what workshop to attend? Join us this Friday at the #UncertaiNLP workshop Location: Bastion 2 room of the Corinthia uncertainlp.github.io/program

Interested in the state of the art of prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text? Check our systematic review and critical appraisal doi.org/10.1016/j.jbi.… @JBI_Journal @drPaulElbers @DongelmansDave

Dear ACL community, ACL is considering multiple proposals to change its anonymity period policy. It seeks immediate feedback from the community about the proposed changes. Please add your voice until Friday, September 22nd (AOE): aclweb.org/portal/content… #NLProc

Today we are open-sourcing SynJax which is a JAX library for efficient probabilistic modeling of structured objects (sequences, segmentations, alignments, trees...). It can compute everything you would expect from a probability distribution: argmax, samples, marginals, entropy...

We need NLG models that can indicate when they are wrong and can handle language variation. A good representation of uncertainty is crucial. But where does uncertainty come from? How to represent it? How does it power NLG models? We unpack this arxiv.org/pdf/2307.15703… 🧵👇1/7

I’ll be presenting this work on sampling-based minimum Bayes risk decoding today at #EMNLP2022! If you’re interested feel free to pass by our poster at the Atrium at 14.00 today :)

This is one of the most lucid and accessible intros to Bayesian inference I have seen, by @rlmcelreath. No background required: Statistical Rethinking 2022 Lecture 02 - Bayesian Inference youtu.be/guTdrfycW2Q via @YouTube

700-page PDF — #Algorithms for Decision-Making — download brilliant & comprehensive FREE eBook from MIT: bit.ly/3wyNcnQ ————— #abdsc #AI #MachineLearning #BigData #DataScience #DataScientists #Mathematics #Statistics #DecisionScience #DataLeadership #AnalyticsStrategy

I am delighted to announce that the camera-ready version of my new book, "Machine Learning: Advanced Topics", is finally available online for free at probml.github.io/book2 (@mitpress will publish the hard copy in 2023.)

I am hiring a PhD candidate to work on uncertainty-aware and explainable models of natural language generation. Fully funded for 4 years at University of Amsterdam. Deadline for applications: August 21. For details see probabll.github.io/jobs/

I am hiring a PhD candidate in ML for NLP to work on deep generative models of language. Fully funded 4-year position at the University of Amsterdam, Language Technology Lab. Apply by August 21. Details and link to call at vene.ro/jobs.html