🎙️ Final Day at OxML 2025 – MLx Health & Bio! We're wrapping up an incredible week with powerful talks on ML, multiomics, open-source tools, and Bayesian models. Meet our Day 4 speakers: Emma Robinson (King’s College London): ML and Imaging Zeyu Gao (University of Cambridge): Multiomics for Cancer Xuan-Son Nguyen (Hugging Face): On-device LLM Impacts on Health & Bio Mi Jung Park (University of British Columbia, CIFAR): Bayesian Views of Prompts and Foundation Models 📍Live at the University of Oxford’s Maths Institute & Online #OxML2025 #MLxHealthBio #MachineLearning #AIforGood #DeepLearning #BiomedicalAI #GenerativeAI #BayesianML #HuggingFace #Multiomics @KingsCollegeLon @Cambridge_Uni @huggingface @UBC @CIFAR_News

Great visit with the @bayesgroup in Bremen! 🚀 So many inspiring discussions on dynamic systems & probabilistic methods. Huge thanks to Dmitry Vetrov & the whole team for the warm welcome. Excited for future collaborations! #Collaboration #Innovation #BayesianML

🎯 New Contextual Multi-Armed Bandits example in RxInferExamples.jl! Fresh take using message passing inference. No MCMC, no hyperparameters - just principled decision making. examples.rxinfer.com/categor… #BayesianML #JuliaLang #RxInfer

Thank you Andrew! The BayesianML course is one of my favourite courses ever, thank you for being a member of my committee, it was a true priviledge!

Triggered by some recent papers, Nick and I wrote about Deep Ensembles, Bayes ensembles, and PAC-Bayesian ensembling: arxiv.org/pdf/2406.05469 Let us know what you think. #deeplearning #PACBayes #BayesianML #ML

🤔Uncertainty in image retrieval? 🧐Frederik Warburg et al. got you covered with their new paper on Bayesian Metric Learning! 🤓Check it out: deepai.org/publication/bayes… #ImageRetrieval #BayesianML #ML

From my experience, applied ML researchers should also get as deep as possible into the math of it. A single insight from math can save a day of experiments that arrive at the same conclusion with lesser confidence. #BayesianML

Amazing learnings in Prof. @nipun_batra's talk on #bayesianML. It was a pleasant experience to attend in-person talks in such cool settings.

RT @AleksanderMolak: 🎈 The second part of #Medium series on modeling uncertainty in neural networks using @TensorFlow #Probability is out now! 🚀 Published by @TDataScience #bayesianML #machinelearning #python #TensorFlow #decision_science #uncerta…

My first Arxiv submission on empirical study of applying Bayesian GLM for Bankruptcy prediction with expert in the loop arxiv.org/abs/2010.13892 #bayesianml :) #rstanarm @mcmc_stan

Fast Bayesian estimation of spatial count data models sciencedirect.com/science/ar… The proposed variation inference approach is around 45 to 50 times faster than MCMC on a regular eight-core processor. #statistics #bayesianML #variationalinference #approximateinference

Excited to learn more about Bayesian ML and Gaussian Processes today at the Oxford Machine Learning Summer School! #OxML2020 #MachineLearning #data #DataScientist #phdlife #AI #DataScience #BayesianML #BigData #summerschool

thanks for your suggestion!! yeah, probably 😆.. As explained in my PhD thesis, Bayes is consistent with Axiom of Probability. Hence Bayes is Probability! But we also need algorithms in Machine learning to compute it. So the tag #BayesianML seems valid. arxiv.org/abs/1811.02506

Maximum posterior probability (MAP) acts like regularization for Maximum Likelihood probability #BayesianML