Probabilistic Machine Learning
Probabilistic Machine Learning
Mar 1, 2025
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1 min read
Teaching assistant for the Probabilistic Machine Learning MSc course at the University of Trieste (Spring 2025).
Topics covered: ERM, PAC learnability, Probabilistic Graphical Models, Hidden Markov Models, Bayesian Classification and Regression, Sampling‑based Inference, Expectation‑Maximization, Variational Inference, Generative Modeling (VAEs, Diffusion Models), Gaussian Processes.
