I am delighted to announce that a draft of my latest book, “Probabilistic Machine Learning: Advanced Topics”, is now available online at https://t.co/dSlKkwYpLr. It covers #DeepGenerativeModels, #BayesianInference, #Causality, #ReinforcementLearning, #DistributionShift, etc.

#mdpientropy "How Active Inference Could Help Revolutionise Robotics" from Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl Friston and Shujhat Khan #freeenergy #adaptiverobots #Bayesianinference #filtering

Visualise constructing evolutionary trees that tell the story of life's diversity.  Join others in exploring the evolutionary history using BEAST2. 🌳🔍 If you’re intrigued, you can register here: https://t.co/s8fgGNK07K #TScourses #KeepLearning #Phylogenetics #BayesianInference

Is our proof correct? 🤣 #BayesianInference

"Why are people biased when making inferences about probabilities? We show how cognitive costs that hamper Bayesian inference result in biases, variability, and non-trivial suboptimal behaviors." https://t.co/EgGFotByb8 #Bayesianinference #cognitivecost

#mdpientropy "Geometric Variational Inference" https://t.co/T5OuHMfLlg #variationalmethods #Bayesianinference #Riemannmanifolds

ArviZ: Exploratory analysis of Bayesian models Includes functions for posterior analysis, sample diagnostics, model checking, and comparison: https://t.co/XkCsS5dXYZ #ArtificialIntelligence #Bayesian #BayesianInference #MachineLearning #Python

New #SpecialIssue "#BayesianInference in Probabilistic Graphical Models", edited by Dr. Rafael Rumí and Prof. Dr. Antonio Salmerón, is open for submission! https://t.co/3rpmGFuNgp #Bayesiannetworks #ProbabilisticGraphicalModels #Bayesianmethods #VariationalInference

#mdpientropy "Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems" https://t.co/eDMADE1h2z #inverseproblems #regularization #Bayesianinference #machinelearning #artificialintelligence

#mdpientropy "Sampling the Variational Posterior with Local Refinement" https://t.co/cIboWrVoz8 #bayesianinference #variationalinference #deepneuralnetworks #contextualbandits

#mdpientropy A new Bayesian approach by Professor Ginestra Bianconi allows inference of the number of nodes and the degree distribution of a network from the exclusive knowledge of a subgraph. https://t.co/rEM3vilwwe #HierarchicalModels #BayesianInference

Read #FeaturePaper "On Sequential Bayesian Inference for Continual Learning" from Samuel Kessler et al. https://t.co/I3kulWSshY #continuallearning #lifelonglearning #sequential #Bayesianinference #Bayesian #deeplearning #Bayesian #neuralnetworks

Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality Xu et al.: https://t.co/Ig74tZHA1o #ArtificialIntelligence #BayesianInference #DeepLearning

Our paper introducing the statistical finite element method (statFEM) is out! StatFEM is an approach for synthesising FE models and observation data from engineering systems in operation. Share link: https://t.co/8UClmKSWib #DigitalTwins #BayesianInference #MachineLearning

Introduction to #Bayesian Analyses for #Anesthesia #ClinicalResearch https://t.co/CPCB4kqhK5 @BaymanEmine @jacob_oleson @FranklinDexter @UIowaCPH #DataAnalysis #statistics #BayesianInference

Uncertainty Estimation in #DeepLearning https://t.co/l4HvF1D3N8 by @tarantulae #AI #bayesian #bayesianinference via @SlideShare #MachineLearning #HealthTech #DataScience Cc @DeepLearn007 @ahier @JohnNosta @IrmaRaste @SpirosMargaris @andi_staub @antgrasso @KirkDBorne @schmarzo

Bayesian Inference with Latent Hamiltonian Neural Networks Dhulipala et al.: https://t.co/OYrGqZbLuu #ArtificialIntelligence #BayesianInference #NeuralNetworks

MCMC Markov chain Monte Carlo The Markov-chain Monte Carlo Interactive Gallery, by Chi Feng:   https://t.co/WZ2LAHya6g Wikipedia: https://t.co/UkwF63aFgQ MCMC.Eth BayesianInference.Eth BayesianDeepLearning.Eth #BayesianInference #BayesianDeepLearning #MCMC

New research! "#NaturalStatistics of #HeadRoll: implications for #BayesianInference in spatial orientation" by Sophie C. M. J. Willemsen et al. 🖱 https://t.co/GzPKFxpy83 @pmedendorp #VestibularSystem #MultisensoryIntegration

Just published part 2 of my blog post series on Function-Space Variational Inference (FSVI) and the Data Processing Inequality (DPI). 🥳 Let's dive into FSVI and how it focues on predictions rather than parameters 🧵 #MachineLearning #BayesianInference https://t.co/nawa9i6hL0