#QuéSabemosDe Análisis de riesgos. David Ríos Insua y Roi Naveiro Flores @roinaveiro.bsky.social. Colección coeditada con @CSIC.es @csicdivulga.bsky.social buff.ly/jpJi4Lx
19.08.2025 07:05 — 👍 3 🔁 1 💬 0 📌 0
Our paper, “Poisoning Bayesian Inference via Data Deletion and Replication,” has been accepted to #AISTATS25.
In it, we propose “posterior attraction problems”, a new family of challenges in Bayesian robustness.
Stay tuned for more.
25.01.2025 13:47 — 👍 2 🔁 0 💬 0 📌 0
👨🏫 Mathematician. PhD statistics since 2018
🍀 Researcher and professor at UPM (formerly at UNIOVI, USC, UPMC, UGR). Regrettably, I passed through the stats department at UCM.
🏡 SEIO and DVS
🎙#RStats trainer at UC3M and RTVE
#Biostats #NetworkAnalysis
CSIC Cultura Científica. En el CSIC nos gusta hacer ciencia y también compartirla. Te contamos nuestras iniciativas para acercar la ciencia a todos los públicos.
#Anonymous: Actions Not Nouns. All that exists is interaction. #BindingChaos #3E https://spookyconnections.com/
Centro de Excelencia Severo Ochoa dedicado a la investigación en #matemáticas, formado por CSIC, UAM, UCM y UC3M. Desentrañamos los enigmas de las matemáticas y, además, nos encanta hablar sobre ellas.
Math Assoc. Prof. (On leave, Aix-Marseille, France)
Teaching Project (non-profit): https://highcolle.com/
Behavioral Economist, sports fan
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand biological systems from new angles of attack
Professor and researcher in Economics. International Political Economy, China, and the US.
Association for Uncertainty in AI.
Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 !
https://auai.org/uai2025
CS PhD student at the University of Birmingham. Research interests: automated machine learning-AutoAI (Bayesian Optimization, GPs & meta-learning) and reinforcement learning. 🏳️🌈. https://sites.google.com/view/zhaoyangwang/home
https://miguelhernan.org/
Using health data to learn what works.
Making #causalinference less casual.
Director, @causalab.bsky.social
Professor, @hsph.harvard.edu
Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
Actionable #causalinference with real-world impact.
We use health data to help decision makers make better decisions.
We train investigators at Harvard T.H. Chan School of Public Health.
Connect with CAUSALab: https://linktr.ee/causalab
Manuel de León, Profesor de Investigación (CSIC), Académico de la Real Academia de Ciencias, fundador del ICMAT, Presidente del ICM2006 Madrid, Blog Matemáticas y sus fronteras https://www.madrimasd.org/blogs/matematicas/
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
Build AI agents over your documents
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
Real Academia de Ciencias Exactas, Físicas y Naturales - The Royal Spanish Academy of Sciences. Combate los bulos: https://goo.su/Pld0aEk
Las matemáticas gallegas son mucho más que números. Sumamos conocimientos y multiplicamos talento. En CITMAga moldeamos la sociedad del futuro.
