| A Theory of Weak-Supervision and Zero-Shot Learning |
A lecture exploring alternatives to using labeled training data. |
Eli Upfal |
9 June, 2022 |
 |
| 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-system interaction. |
Max Van Kleek |
6 April, 2022 |
|
| 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. |
Katherine Fletcher |
5 April, 2022 |
|
| Statistics, ethical and unethical: Some historical vignettes |
David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples. |
David Steinsaltz |
5 April, 2022 |
|
| Joining Bayesian submodels with Markov melding |
This seminar explains and illustrates the approach of Markov melding for joint analysis. |
Robert Goudie |
5 April, 2022 |
|
| Neural Networks and Deep Kernel Shaping |
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. |
James Martens |
5 April, 2022 |
|
| Introduction to Advanced Research Computing at Oxford |
Andy Gittings and Dai Jenkins, deliver a graduate lecture on Advance Research Computing (ARC). |
Andy Gittings, Dai Jenkins |
5 April, 2022 |
|
| Ethics from the perspective of an applied statistician |
Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians. |
Denise Lievesley |
31 March, 2022 |
|
| 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. |
Maria Christodoulou, Mariagrazia Zottoli |
31 March, 2022 |
|
| Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo |
Lionel Riou-Durand gives a talk on sampling methods. |
Lionel Riou-Durand |
31 March, 2022 |
|
| Modelling infectious diseases: what can branching processes tell us? |
Professor Samir Bhatt gives a talk on the mathematics underpinning infectious disease models. |
Samir Bhatt |
31 March, 2022 |
|
| Causality and Autoencoders in the Light of Drug Repurposing for COVID-19 |
Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021. |
Caroline Uhler |
29 July, 2021 |
|
| Recent Applications of Stein's Method in Machine Learning |
Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021. |
Qiang Liu |
29 July, 2021 |
|
| Do Simpler Models Exist and How Can We Find Them? |
Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021. |
Cynthia Rudin |
29 July, 2021 |
|
| Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning |
Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021 |
Aki Vehtari |
29 July, 2021 |
|
| Complexity of local MCMC methods for high-dimensional model selection |
Quan Zhou, Texas A and M University, gives an OxCSML Seminar on Friday 25th June 2021. |
Quan Zhou |
2 July, 2021 |
|
| Assessing Personalization in Digital Health |
Distinguished Speaker Seminar - Friday 18th June 2021, with Susan Murphy, Professor of Statistics and Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences. |
Susan Murphy |
23 June, 2021 |
|
| Machine Learning in Drug Discovery |
Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. |
Fergus Boyles |
23 June, 2021 |
|
| Several structured thresholding bandit problems |
OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg). |
Alexandra Carpentier |
23 June, 2021 |
|
| A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline |
Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. |
Benjamin Guedj |
28 May, 2021 |
|
| Approximate Bayesian computation with surrogate posteriors |
Julyan Arbel (Inria Grenoble - Rhône-Alpes), gives an OxCSML Seminar on Friday 30th April 2021, for the Department of Statistics. |
Julyan Arbel |
21 May, 2021 |
|
| Introduction to Bayesian inference for Differential Equation Models Using PINTS |
Ben Lambert, Department of Computer Science, University of Oxford, gives the Graduate Lecture on Thursday 6th May 2021, for the Department of Statistics. |
Ben Lambert |
21 May, 2021 |
|
| On classification with small Bayes error and the max-margin classifier |
Professor Sara Van de Geer, ETH Zürich, gives the Distinguished Speaker Seminar on Thursday 29th April 2021 for the Department of Statistics. |
Sara Van de Geer |
21 May, 2021 |
|
| Convergence of Online SGD under Infinite Noise Variance, and Non-convexity |
Murat Erdogdu gives the OxCSML Seminar on Friday 12th March, 2021, for the Department of Statistics. |
Murat Erdogdu |
21 May, 2021 |
|
| Distribution-dependent generalization bounds for noisy, iterative learning algorithms |
Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021. |
Karolina Dziugaite |
17 March, 2021 |
|
