Department of Statistics Podcast
1) A Theory of Weak-Supervision and Zero-Shot Learning
A lecture exploring alternatives to using labeled training data. Labeled training data is often scarce, unavailable, or can be very costly to obtain. To circumvent this problem, there is a growing in...Show More
2) Victims of Algorithmic Violence: An Introduction to AI Ethics and Human-AI Interaction
A high-level overview of key areas of AI ethics and not-ethics, exploring the challenges of algorithmic decision-making, kinds of bias, and interpretability, linking these issues to problems of human-...Show More
3) The practicalities of academic research ethics - how to get things done
A brief introduction to various legal and procedural ethical concepts and their applications within and beyond academia. It's all very well to talk about truth, beauty and justice for academic researc...Show More
4) Statistics, ethical and unethical: Some historical vignettes
David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommon...Show More
5) Joining Bayesian submodels with Markov melding
This seminar explains and illustrates the approach of Markov melding for joint analysis. Integrating multiple sources of data into a joint analysis provides more precise estimates and reduces the risk...Show More
6) Neural Networks and Deep Kernel Shaping
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. Using an extended and formalized version of the Q/C map analysis of Pool et al. (2016...Show More
7) Introduction to Advanced Research Computing at Oxford
Andy Gittings and Dai Jenkins, deliver a graduate lecture on Advance Research Computing (ARC). Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons....Show More
8) Ethics from the perspective of an applied statistician
Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians. Statisticians work in a wide variety of different political and cultural environments which...Show More
9) A Day in the Life of a Statistics Consultant
Maria Christodoulou and Mariagrazia Zottoli share what a standard day is like for a statistics consultant. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://cre...Show More
10) Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
Lionel Riou-Durand gives a talk on sampling methods. Sampling approximations for high dimensional statistical models often rely on so-called gradient-based MCMC algorithms. It is now well established...Show More