Elre Oldewage

Name:	Elre Oldewage
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	17 Jan 2023, 3:17 p.m.

Public lists managed by Elre Oldewage

Talks given by Elre Oldewage

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Fairness in AI
• Neural Attention

Talks organised by Elre Oldewage

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Elre Oldewage actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Benchmarking and evaluation in contemporary machine learning
• Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
• The role of meta-learning for few-shot classification
• Benefits and Shortcomings of Assistance
• Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
• How close are these distributions? A brief introduction to statistical distances and divergences.
• Autoregressive Diffusion Models
• An Overview of AI Alignment
• The Bayesian Learning Rule for Adaptive AI
• Introduction to differential privacy
• Retrieval Augmented NLP
• Circuits and Interpretability
• Optimal Transport Metrics
• Learned Compression
• Diffusion and Score-based Generative Models
• AI Safety
• Energy-Based Models
• Deep Kernels
• Mean Field Theory of NN (postponed to March 2022)
• Ethics, Integrity and Good Practice in ML
• Implicit Regularization in Deep Learning
• Planning Meeting + PI Presentations
• CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
• CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
• CBL Alumni Talk: Finale Doshi-Velez
• Pseudo-Points and State-Space Gaussian Processes
• CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.
• The Statistical Finite Element Method
• CBL Alumni Talk - Our Power as Technical Designers
• Best of ICLR
• CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning
• An Introduction to PAC-Bayes
• Automated Augmented Conjugate Inference for Gaussian Processes
• CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning
• Online Learning and Online Convex Optimisation
• Monte Carlo Gradient Estimation in Machine Learning
• Secondmind's research activities to make Gaussian Processes industry proof
• Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
• Gaussian Processes I have Known
• Causal Representation Learning
• Long-Range Transformers
• Inference in Stochastic Processes
• Fairness in AI
• Variational Bayes as Surrogate Regression
• Bayesian optimization / Gaussian Process Bandits
• Meta-reinforcement learning
• Best of NeurIPS
• Neural Processes
• Large-scale sequential experimentation
• Symmetries in Reinforcement Learning
• Gradient-based Hyperparameter Optimisation
• Best Papers from ICML 2020