Department of Statistics
Series associated with Department of Statistics
Department of Statistics
| # | Episode Title | Description | People | Date | |
|---|---|---|---|---|---|
| 41 | Creative Commons | A Theory of Weak-Supervision and Zero-Shot Learning | A lecture exploring alternatives to using labeled training data. | Eli Upfal | 09 Jun 2022 |
| 40 | Creative Commons | 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 | 06 Apr 2022 |
| 39 | Creative Commons | 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 | 05 Apr 2022 |
| 38 | Creative Commons | Statistics, ethical and unethical: Some historical vignettes | David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples. | David Steinsaltz | 05 Apr 2022 |
| 37 | Creative Commons | Joining Bayesian submodels with Markov melding | This seminar explains and illustrates the approach of Markov melding for joint analysis. | Robert Goudie | 05 Apr 2022 |
| 36 | Creative Commons | Neural Networks and Deep Kernel Shaping | Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. | James Martens | 05 Apr 2022 |
| 35 | Creative Commons | 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 | 05 Apr 2022 |
| 34 | Creative Commons | 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 Mar 2022 |
| 33 | Creative Commons | 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 Mar 2022 |
| 32 | Creative Commons | Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo | Lionel Riou-Durand gives a talk on sampling methods. | Lionel Riou-Durand | 31 Mar 2022 |
| 31 | 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 Mar 2022 | |
| 30 | 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 Jul 2021 | |
| 29 | 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 Jul 2021 | |
| 28 | 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 Jul 2021 | |
| 27 | 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 Jul 2021 | |
| 26 | 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 | 02 Jul 2021 | |
| 25 | 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 Jun 2021 | |
| 24 | Machine Learning in Drug Discovery | Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. | Fergus Boyles | 23 Jun 2021 | |
| 23 | Several structured thresholding bandit problems | OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg). | Alexandra Carpentier | 23 Jun 2021 | |
| 22 | 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 | |
| 21 | 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 | |
| 20 | 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 | |
| 19 | 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 | |
| 18 | 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 | |
| 17 | Distribution-dependent generalization bounds for noisy, iterative learning algorithms | Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021. | Karolina Dziugaite | 17 Mar 2021 | |
| 16 | Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery | Professor Davina Durgana, award-winning international human rights statistician and professor with almost 15 years of experience developing leading global models to assess risk to modern slavery, gives a talk on their work on modern slavery. | Davina Durgana | 01 Mar 2021 | |
| 15 | Veridical Data Science for biomedical discovery: detecting epistatic interactions with epiTree | Bin Yu, Chancellor's Professor, Departments of Statistics and Electrical Engineering and Computer Science, UC Berkeley, gives a seminar for the Department of Statistics. | Bin Yu | 26 Feb 2021 | |
| 14 | (Not) Aggregating Data: The Corcoran Memorial Lecture | Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives the The Corcoran Memorial Lecture, held on 21st January 2021. | Kerrie Mengersen | 05 Feb 2021 | |
| 13 | Florence Nightingale Bicentennial Panel Session | The Florence Nightingale Bicentennial Lecture was followed by a Panel Session with Professor Deborah Ashby, Professor David Cox and Professor David Spiegelhalter. The Panel was chaired by Professor Jennifer Rogers about the role of statistics in society | Deborah Ashby, David Cox, David Spiegelhalter | 05 Feb 2021 | |
| 12 | Florence Nightingale and the politicians’ pigeon holes: using data for the good of society | Professor Deborah Ashby, President of the RSS, gives the 2020 Florence Nightingale lecture. | Deborah Ashby, David Cox, David Spiegelhalter | 07 Jan 2021 | |
| 11 | Probabilistic Inference and Learning with Stein’s Method | Part of the Probability for Machine Learning seminar series. Presented by Prof Lester Mackey (Microsoft Research New England and Stanford University). | Lester Mackey | 04 Dec 2020 | |
| 10 | Introduction to Deep Learning and Graph Neural Networks in Biomedicine | Dr. Ekaterina Volkova-Volkmar, Senior Data Scientist, pRED Informatics - Data Science, Roche Pharma Research and Early Development, Roche, Basel, Switzerland, gives a talk on deep learning and graph neural networks in biomedicine. | Ekaterina Volkova-Volkmar | 03 Dec 2020 | |
| 9 | Looking back on 4 years in data science | Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world. | Jonny Brooks-Bartlett | 28 Nov 2020 | |
| 8 | Creative Commons | Black History Month: Exploring the Data Visualizations of W.E.B. Du Bois | Jason Forrest, Director of Interactive Data Visualization, COVID Response Centre, McKinsey and Co, New York, gives the Department of Statistics Black History Month lecture, with a talk on the work of African-American scholar and activist W.E.B. Du Bois. | Jason Forrest | 23 Oct 2020 |
| 7 | The Science Media Centre and its work | Fiona Lethbridge, Science Media Centre, gives a talk on the Science Media Centre and it's work. | Fiona Lethbridge | 24 Jun 2020 | |
| 6 | How To Set Up Continuous Integration to Make Your Code More Robust, More Maintainable, and Easier to Publish | Dr Fergus Cooper, Research Software Engineer, Oxford RSE Group, gives a talk for the department of Statistics on 5th June 2020. | Fergus Cooper | 10 Jun 2020 | |
| 5 | Developing better code with automated testing | Graham Lee, Research Software Engineer, Oxford RSE Group, gives talk for the department of Statistics on 22nd May 2020. | Graham Lee | 10 Jun 2020 | |
| 4 | Cluster-Randomised Test Negative Designs: Inference and Application to Vector Trials to Eliminate Dengue | Nick Jewell, University of California, Berkeley School of Public Health, gives a talk for the departmental of Statistics on 28th May 2020. | Nick Jewell | 10 Jun 2020 | |
| 3 | MCMC for Hierachical Bayesian Models Using Non-reversible Langevin Methods | Radford M. Neal (University of Toronto), gives a talk for the department of Statistics. | Radford M Neal | 10 Jun 2020 | |
| 2 | Maths and Stats in Action – Real-time Analysis to Understand the Novel Coronavirus | Providing a whirlwind tour of the quantitative analyses currently underway to understand the transmission and control of the novel coronavirus (2019-nCOV). Recorded on 31st January 2020. | Christl Donnelly, Robin Thompson, Christophe Fraser | 11 Mar 2020 | |
| 1 | Bioinformatics at the heart of biology and genomics medicine | The Ninth annual Florence Nightingale Lecture, given by Professor Dame Janet Thornton, European Bioinformatics Institute, Cambridge. Held on Thursday 21st April 2016. | Dame Janet Thornton | 27 Apr 2016 |