Uncertainty Quantification

Summary

Eyke Hüllermeier is a full professor at the Heinz Nicdorf Institute and the Department of Computer Science at Paderborn University ... In this lecture, we will motivate why the successful application of machine learning models in the real world (in the context of ... A quick 20 min introduction to various UQ methods for Deep Learning:- - Why is UQ required for Deep Learning - Bayesian NN ... Roger Ghanem is Professor of Civil and Environmental Engineering at the U of Southern California where he also holds the Tryon ... Okay so now I will talk about the main part of the talk where I will talk about practical methods for Measuring Doubt in Systems That Have None: Slides and data sets available at: isric.org/training/hands-global-soil-information-facilities-2015 Recordings and video ... An animated walkthrough of the ICML 2024 tutorial "Distribution-Free Predictive Speaker(s): Professor Claudia Schillings (Freie Universität Berlin) Date: 11 April 2023 - 16:00 to 17:00 Venue: Isaac Newton ... Financial Theory (ECON 251) Until now, the models we've used in this course have focused on the case where everyone can ... We introduce the problem of conformal prediction, which reduces the problem of producing prediction sets to the problem of ... September 17, 2026 Shanyin Tong, University of Pennsylvania Large Deviations for Rare-Event Estimation and Control Rare and ... First lecture on Bayesian Deep Learning and Predictions from modeling and simulation (M&S) are increasingly relied upon to inform critical decision making in a variety of ... 2025 ML Academy & Artiste Distinguished Lecture.