Machine Learning weekly seminar series at UCL, sponsored by Jump Trading and ELLIS.

The Centre for Computational Statistics and Machine Learning (CSML) spans three departments at UCL: Computer Science, Statistical Science, and the Gatsby Unit.

Jeremias Knoblauch (University College London): Post-Bayesian Machine Learning
51:53
Jeremias Knoblauch (University College London): Post-Bayesian Machine Learning
David S. Watson (King's College London): Bounding Causal Effects with Leaky Instruments
48:19
David S. Watson (King's College London): Bounding Causal Effects with Leaky Instruments
Alexis Bellot (DeepMind): A Causal Approach to Transfer Learning in Machine Learning
52:56
Alexis Bellot (DeepMind): A Causal Approach to Transfer Learning in Machine Learning
Causal foundations for safe AGI - Tom Everitt (DeepMind)
54:13
Causal foundations for safe AGI - Tom Everitt (DeepMind)
Maurice Weiler - Equivariant and Coordinate Independent Convolutional Networks
1:22:33
Maurice Weiler - Equivariant and Coordinate Independent Convolutional Networks
Rebecca Lewis - Inference in High-Dimensional Logistic Regression Models with Separated Data
49:37
Rebecca Lewis - Inference in High-Dimensional Logistic Regression Models with Separated Data
Badr-Eddine Chérief-Abdellatif - Robust Estimation via Maximum Mean Discrepancy
1:06:15
Badr-Eddine Chérief-Abdellatif - Robust Estimation via Maximum Mean Discrepancy
Harita Dellaporta - Robust Bayesian Inference for Simulator-Based Models via MMD Posterior Bootstrap
42:20
Harita Dellaporta - Robust Bayesian Inference for Simulator-Based Models via MMD Posterior Bootstrap
Alexander Terenin - Non-Euclidean Matérn Gaussian Processes
42:58
Alexander Terenin - Non-Euclidean Matérn Gaussian Processes
Siu Lun Chau - Explaining Kernel Methods with RKHS-SHAP
47:53
Siu Lun Chau - Explaining Kernel Methods with RKHS-SHAP
Manfred K. Warmuth - The blessing and the curse of the multiplicative updates
1:01:49
Manfred K. Warmuth - The blessing and the curse of the multiplicative updates
Julien Mairal - Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts
38:39
Julien Mairal - Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts
Stefano Ermon - Utilitarian Information Theory
58:49
Stefano Ermon - Utilitarian Information Theory
Emtiyaz Khan - The Bayesian Learning Rule for Adaptive AI
52:06
Emtiyaz Khan - The Bayesian Learning Rule for Adaptive AI
Alexandre Gramfort - Machine learning without human supervision on neuroscience signals
1:02:26
Alexandre Gramfort - Machine learning without human supervision on neuroscience signals
Hossein Mobahi: Sharpness-Aware Minimization (SAM): Current Method and Future Directions
53:56
Hossein Mobahi: Sharpness-Aware Minimization (SAM): Current Method and Future Directions
Stéphanie Allassonnière - Geometry-Aware Variational Autoencoders for Medical Data Augmentation
55:45
Stéphanie Allassonnière - Geometry-Aware Variational Autoencoders for Medical Data Augmentation
Richard Samworth - Optimal Subgroup Selection
45:18
Richard Samworth - Optimal Subgroup Selection
Makoto Yamada - Selective Inference with Kernels
1:13:12
Makoto Yamada - Selective Inference with Kernels
Mark Herbster - Online Multitask Learning with Long-Term Memory
1:01:02
Mark Herbster - Online Multitask Learning with Long-Term Memory
Contrastive Self-Supervised Learning and Potential Limitations - Dr Ting Chen from Google Brain
55:12
Contrastive Self-Supervised Learning and Potential Limitations - Dr Ting Chen from Google Brain
Nicholas Bishop - Strategic Least Squares Regression with Verified Training Data
50:08
Nicholas Bishop - Strategic Least Squares Regression with Verified Training Data
Petar Veličković - A Tale of Three Implicit Planners and the XLVIN agent
50:49
Petar Veličković - A Tale of Three Implicit Planners and the XLVIN agent
Greg Yang — Feature Learning in Infinite-Width Neural Networks
47:38
Greg Yang — Feature Learning in Infinite-Width Neural Networks
Chelsea Finn - Principles for Tackling Distribution Shift: Pessimism, Adaptation, and Anticipation
48:57
Chelsea Finn - Principles for Tackling Distribution Shift: Pessimism, Adaptation, and Anticipation
David Duvenaud - Latent Stochastic Differential Equations: An Unexplored Model Class
51:39
David Duvenaud - Latent Stochastic Differential Equations: An Unexplored Model Class
Mihaela van der Schaar --- Why medicine is creating exciting new frontiers for machine learning
54:54
Mihaela van der Schaar --- Why medicine is creating exciting new frontiers for machine learning
Guido Montúfar: Implicit bias of gradient descent for MSE regression with wide neural networks
54:10
Guido Montúfar: Implicit bias of gradient descent for MSE regression with wide neural networks
Marta Garnelo - Meta-Learning and Neural Processes
47:32
Marta Garnelo - Meta-Learning and Neural Processes
Jakob Foerster - Zero-Shot (Human-AI) Coordination (in Hanabi) and Ridge Rider
51:28
Jakob Foerster - Zero-Shot (Human-AI) Coordination (in Hanabi) and Ridge Rider