| A Theory of Weak-Supervision and Zero-Shot Learning |
A lecture exploring alternatives to using labeled training data. |
Eli Upfal |
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| 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 |
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| 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 |
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| Statistics, ethical and unethical: Some historical vignettes |
David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples. |
David Steinsaltz |
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| Joining Bayesian submodels with Markov melding |
This seminar explains and illustrates the approach of Markov melding for joint analysis. |
Robert Goudie |
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| Neural Networks and Deep Kernel Shaping |
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. |
James Martens |
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| 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 |
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| Ethics from the perspective of an applied statistician |
Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians. |
Denise Lievesley |
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| 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 |
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| Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo |
Lionel Riou-Durand gives a talk on sampling methods. |
Lionel Riou-Durand |
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| Modelling infectious diseases: what can branching processes tell us? |
Professor Samir Bhatt gives a talk on the mathematics underpinning infectious disease models. |
Samir Bhatt |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Machine Learning in Drug Discovery |
Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. |
Fergus Boyles |
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| Several structured thresholding bandit problems |
OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg). |
Alexandra Carpentier |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Distribution-dependent generalization bounds for noisy, iterative learning algorithms |
Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021. |
Karolina Dziugaite |
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| 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 |
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| 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 |
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| (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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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