Guest Seminar: Anand Sarwate
Tuesday 20 May 2.00pm UK time University of Bristol, School of Mathematics, Fry Building/ Online Anand Sarwate Rutgers, The State University of New Jersey. ‘An information theorist visits differential privacy’ […]
12 events found.
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FeaturedINFORMED AI Summer School 2025
University of Bristol School of Mathematics Fry Building, Woodland Rd, BristolWe are pleased to announce the Hub’s first summer school. The 4 day event will be held at the University of Bristol School of Mathematics from Monday 16 June to […]
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PUBLIC LECTURE: Group Testing: The Mathematics of “Twenty Questions”
University of Bristol School of Mathematics Fry Building, Woodland Rd, BristolPlease join us for a Public Lecture as part of the INFORMED AI Summer School. In this free to attend lecture, our hub Director Sid Jaggi will present an accessible […]
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Guest seminar: Professor Raymond Yeung
University of Bristol School of Mathematics Fry Building, Woodland Rd, BristolInequalities Revisited We are delighted to announce our 2025/26 seminar series starts on 23 Sept 2025 with YEUNG Wai Ho Raymond - recipient of the 2021 Hamming Medal and the […]
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Guest seminar: Dr Aditya Ramamoorthy
University of Bristol School of Mathematics Fry Building, Woodland Rd, BristolEfficient gradient coding for mitigating stragglers within distributed machine learning. Abstract: Large scale distributed learning is the workhorse of modern-day machine learning algorithms. A typical scenario consists of minimizing a […]
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Yingzhen Li: Variational Uncertainty Decomposition for In-Context Learning
Online seminarBio: Yingzhen Li is an Associate Professor in Machine Learning at the Department of Computing, Imperial College London, UK. Before that she was a senior researcher at Microsoft Research Cambridge, […]
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Archana Bura: Structure-Aware Reinforcement Learning for Constrained Control
Online seminarAbstract: Many constrained control problems in queueing and scheduling admit elegant structures, yet reinforcement learning methods rarely exploit them. In this talk, I will present a framework for structured reinforcement learning that […]
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Lasse Vuursteen: Optimality Theory for Adaptive Federated Estimation under Differential Privacy
Online seminarWe have the pleasure to have Lasse Vursteen (Duke University) presenting his work on Optimality Theory for Adaptive Federated Estimation under Differential Privacy (via Teams). Abstract: This talk addresses adaptive density estimation […]
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Amir Asadi: Multiscale Machine Learning: An Information-Theoretic Approach
Online seminarWe are delighted to welcome Amir Asadi from University of Cambridge to talk about their work. Title: Multiscale Machine Learning: An Information-Theoretic Approach Abstract: Machine learning models draw on two fundamental […]
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Yuting Wei – To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models
Online seminarAbstract: The denoising diffusion probabilistic model (DDPM) has become a cornerstone of generative AI. While sharp convergence guarantees have been established for DDPM, the iteration complexity typically scales with the […]
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Denny Wu – Learning shallow neural networks in high dimensions: SGD dynamics and scaling laws
Online seminarDenny Wu is a Faculty Fellow at the Center for Data Science, New York University and the Flatiron Institute Abstract: We study the sample and time complexity of online stochastic […]
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Andras Gyorgy: Statistical vs. Exact Learning and Artificial General Intelligence
Online seminarAndrás György is a Senior Staff Research Scientist at Google DeepMind, London, UK. He received his Ph.D. from the Budapest University of Technology and Economics, Hungary. He was a postdoctoral […]
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