报告时间：2025年9月3日下午3:00-4:30

报告地点：软件学院B8报告厅

报告人：Theodoros(Theo) Damoulas教授

报告题目：Distributionally Robust Optimisation with Bayesian Ambiguity Sets

主持人：刘飞教授

报告摘要：

Present the recent work on decision making under uncertainty with application to finance.

个人简介：

Theo Damoulas，Professor of Machine Learning and Data Science of Department of Computer Science & Department of Statistics University of Warwick.Turing Fellow & Group Leader of the Data-Centric Engineering programme of The Alan Turing Institute.Turing AI Acceleration Fellow of UKRI-EPSRC.Visiting Exchange Professor of New York University, Center for Urban Science and Progress. He has achieved Routing and Planning Under Risk (2022-2023),Sir David Attenborough Digital Twin, The Alan Turing Institute’s ASG programme;Machine Learning Foundations of Digital Twins (2021-2026), UKRI-EPSRC Turing AI Acceleration Fellowship;Robust Sequential Monte Carlo for Urban Air Quality (2020-2023),EPSRC Math Panel;London Air Quality Grant (2017-2020), Lloyds Register Foundation, Data Centric Engineering; The Alan Turing Institute,Probabilistic Deep Learning for EV Battery life prediction (2018-2020), Probabilistic Deep Learning for EV Battery life prediction; High Value Manufacturing Catapult, Warwick Manufacturing Group;Best Paper Award, The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), the flagship conference at the intersection of AI and Statistics. AISTATS 2022.