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Multi-task Gaussian process modelling for point process data
Multi-fidelity Gaussian Processes for Human-Agent Teaming
Gaussian Processes
Multi Output Gaussian Processes, Mauricio Alvarez
Multitask Gaussian Processes for Causal Inference with Panel Data (4/28/2020)
ML Tutorial: Gaussian Processes (Richard Turner)
(ML 19.1) Gaussian processes - definition and first examples
Deep Gaussian Processes for High-Entropy Alloy Discovery | Multi-Task AI Modeling
Gaussian Processes : Data Science Concepts
Probabilistic ML - Lecture 8 - Gaussian Processes
Multi-Objective, Multi-Fidelity, and Multi-Task Gaussian Processes and Bayesian Optimization
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Last Updated: October 19, 2026
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Vaibhav Srivastava Associate Professor of Electrical and Computer Engineering Michigan State University Abstract: In this talk, we ... Reach out to us :) truetheta.io For Machine Learning, Presenter Eli Sherman is a computer science PhD student at Johns Hopkins University. Machine Learning Tutorial at Imperial College London: How can AI speed up the discovery of next-generation materials? In this talk, Ahnaf Alvi (PhD Candidate, Texas A&M University) ... This is the eigth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2023 at the University of ... This lecture and tutorial introduces the multiobjective, multifidelity, and