Looking forward to presenting two papers tomorrow (Tuesday) at #NeurIPS2021: * Adversarial Robustness with Semi-Infinite Constrained Learning @ 11:30am EST (poster session 1) * Model-Based Domain Generalization @ 7:30pm EST (poster session 2)

👏🏻 LA participación de 🇺🇾 en ciclismo de pista es para aplaudir ¡A seguir así! #CreciendoJuntos

Launching a company today is very different than five years ago. The rise of "Default Global" co's is why we're building @datanomik: to simplify financial data for companies across LatAm

Arata of course has some form for doing some great plays from restarts. Who remembers this sensational individual try vs Spain from 2017?

No nos da lo mismo el recorte de presupuesto para la Universidad de la República. #QueNoTeDéLoMismo

Outstanding NLP lecture by Kyunghyun Cho at #khipu2023. Wearing 'la celeste' 🇺🇾😊. World cup forgotten 😂💔

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models (arxiv.org/pdf/2410.00645) authored with Juan Elenter, @JAgterberge, Alejandro Ribeiro, Rene Vidal abstract & intro attached for your convenience related to Ponnurangam Kumaraguru “PK” ContinualAI

Interested in NNs with improved tail performance? Our #AISTATS2025 paper introduces Feasible Learning, a sample-centric learning paradigm that bounds per-sample losses! Nacho Hounie Juan Elenter Jose Gallego-Posada Meraj A. Ribeiro Simon Lacoste-Julien arxiv.org/abs/2501.14912 🧵

🚨 New Workshop Alert! 🚨 COML NeurIPS Conference 2025 — The first Workshop on Constrained Optimization for Machine Learning is coming to San Diego, Dec 2–7! 🌴 Website: constrained-opt-ml.github.io 🧵

A few more days to submit your COML extended abstract!