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| Episode | Date |
|---|---|
|
A Theory of Weak-Supervision and Zero-Shot Learning
|
Jun 09, 2022 |
|
Victims of Algorithmic Violence: An Introduction to AI Ethics and Human-AI Interaction
|
Apr 06, 2022 |
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The practicalities of academic research ethics - how to get things done
|
Apr 05, 2022 |
|
Statistics, ethical and unethical: Some historical vignettes
|
Apr 05, 2022 |
|
Joining Bayesian submodels with Markov melding
|
Apr 05, 2022 |
|
Neural Networks and Deep Kernel Shaping
|
Apr 05, 2022 |
|
Introduction to Advanced Research Computing at Oxford
|
Apr 05, 2022 |
|
Ethics from the perspective of an applied statistician
|
Mar 31, 2022 |
|
A Day in the Life of a Statistics Consultant
|
Mar 31, 2022 |
|
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
|
Mar 31, 2022 |
|
Modelling infectious diseases: what can branching processes tell us?
|
Mar 31, 2022 |
|
Causality and Autoencoders in the Light of Drug Repurposing for COVID-19
|
Jul 29, 2021 |
|
Recent Applications of Stein's Method in Machine Learning
|
Jul 29, 2021 |
|
Do Simpler Models Exist and How Can We Find Them?
|
Jul 29, 2021 |
|
Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning
|
Jul 29, 2021 |
|
Complexity of local MCMC methods for high-dimensional model selection
|
Jul 02, 2021 |
|
Assessing Personalization in Digital Health
|
Jun 23, 2021 |
|
Machine Learning in Drug Discovery
|
Jun 23, 2021 |
|
Several structured thresholding bandit problems
|
Jun 23, 2021 |
|
A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline
|
May 28, 2021 |
|
Approximate Bayesian computation with surrogate posteriors
|
May 21, 2021 |
|
Introduction to Bayesian inference for Differential Equation Models Using PINTS
|
May 21, 2021 |
|
On classification with small Bayes error and the max-margin classifier
|
May 21, 2021 |
|
Convergence of Online SGD under Infinite Noise Variance, and Non-convexity
|
May 21, 2021 |
|
Distribution-dependent generalization bounds for noisy, iterative learning algorithms
|
Mar 17, 2021 |
|
Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery
|
Mar 01, 2021 |
|
Veridical Data Science for biomedical discovery: detecting epistatic interactions with epiTree
|
Feb 26, 2021 |
|
(Not) Aggregating Data: The Corcoran Memorial Lecture
|
Feb 05, 2021 |
|
Florence Nightingale Bicentennial Panel Session
|
Feb 05, 2021 |
|
Florence Nightingale and the politicians’ pigeon holes: using data for the good of society
|
Jan 07, 2021 |
|
Probabilistic Inference and Learning with Stein’s Method
|
Dec 04, 2020 |
|
Introduction to Deep Learning and Graph Neural Networks in Biomedicine
|
Dec 03, 2020 |
|
Looking back on 4 years in data science
|
Nov 28, 2020 |
|
Black History Month: Exploring the Data Visualizations of W.E.B. Du Bois
|
Oct 23, 2020 |
|
The Science Media Centre and its work
|
Jun 24, 2020 |
|
How To Set Up Continuous Integration to Make Your Code More Robust, More Maintainable, and Easier to Publish
|
Jun 10, 2020 |
|
Developing better code with automated testing
|
Jun 10, 2020 |
|
Cluster-Randomised Test Negative Designs: Inference and Application to Vector Trials to Eliminate Dengue
|
Jun 10, 2020 |
|
MCMC for Hierachical Bayesian Models Using Non-reversible Langevin Methods
|
Jun 10, 2020 |
|
Maths and Stats in Action – Real-time Analysis to Understand the Novel Coronavirus
|
Mar 11, 2020 |
|
Bioinformatics at the heart of biology and genomics medicine
|
Apr 27, 2016 |