Past Events
Machine learning in solution of inverse problems: a subjective perspective
Speaker: Prof. Marta M. Betcke
Date: April 30, 2025
Contextual Selection of Conformal Uncertainty Sets for Conditional Robust Optimization
Speaker: Prof. Haojie Ren
Date: Feb 19, 2025
Deep Gaussian processes: theory and application
Speaker: Dr. Aretha Teckentrup
Date: December 17, 2024
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Dimensionality reduction techniques for optimization problems
Speaker: Prof. Coralia Cartis
Date: November 27, 2024
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A level-set approach for control problems arising in energy production and distribution
Speaker: Prof. Athena Picarelli
Date: Oct 30, 2024
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The Rise of Reinforcement Learning: from One to Many
Speaker: Prof. Niao He
Date: September 25, 2024
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Unveiling the Role of the Wasserstein Distance in Generative Modelling
Speaker: Prof. Lisa Kreusser
Date: September 4, 2024
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WINDSMATH Poster Showcased at UCL: Embedding EDI in Education II
Presenter: Danqi Zhuang
Date: July 19, 2024
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A deep learning analysis of climate change, innovation, and uncertainty
Speaker: Prof. Ruimeng Hu
Date: May 29th, 2024
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New Challenges in Optimization for Ethical Decisions
Speaker: Prof. Swati Gupta
Date: Mar 26th, 2024
AI for Science: Discovering Diverse Classes of Governing Equations in Medicine and Beyond
Speaker: Prof. Mihaela van der Schaar
Date: Feb 26th, 2024
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A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
Speaker: Prof. Annie Qu
Date: Jan 30th, 2024
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Dynamic pricing and learning with Bayesian persuasion
Speaker: Prof. Shipra Agrawal
Date: Nov 30th, 2023
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On Graph Limits as Models for Interaction Data
Speaker: Prof. Sofia Olhede
Date: Oct 25th, 2023
Reinforcement Learning meets Federated Learning and Distributional Robustness
Speaker: Prof. Yuejie Chi
Date: July 5, 2023
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Mathematics of transfer learning and transfer risk: from medical to financial data analysis
Speaker: Prof. Xin Guo
Date: May 31, 2023
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