Department of Statistics
Activity Overview
Episode publication activity over the past year
Episodes
A Theory of Weak-Supervision and Zero-Shot Learning
09 Jun 2022
Contributed by Lukas
A lecture exploring alternatives to using labeled training data. Labeled training data is often scarce, unavailable, or can be very costly to obtain....
Victims of Algorithmic Violence: An Introduction to AI Ethics and Human-AI Interaction
06 Apr 2022
Contributed by Lukas
A high-level overview of key areas of AI ethics and not-ethics, exploring the challenges of algorithmic decision-making, kinds of bias, and interpreta...
The practicalities of academic research ethics - how to get things done
05 Apr 2022
Contributed by Lukas
A brief introduction to various legal and procedural ethical concepts and their applications within and beyond academia. It's all very well to talk ab...
Statistics, ethical and unethical: Some historical vignettes
05 Apr 2022
Contributed by Lukas
David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples.
Joining Bayesian submodels with Markov melding
05 Apr 2022
Contributed by Lukas
This seminar explains and illustrates the approach of Markov melding for joint analysis. Integrating multiple sources of data into a joint analysis pr...
Neural Networks and Deep Kernel Shaping
05 Apr 2022
Contributed by Lukas
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. Using an extended and formalized ve...
Introduction to Advanced Research Computing at Oxford
05 Apr 2022
Contributed by Lukas
Andy Gittings and Dai Jenkins, deliver a graduate lecture on Advance Research Computing (ARC).
Ethics from the perspective of an applied statistician
31 Mar 2022
Contributed by Lukas
Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians. Statisticians work in a wide variety of d...
A Day in the Life of a Statistics Consultant
31 Mar 2022
Contributed by Lukas
Maria Christodoulou and Mariagrazia Zottoli share what a standard day is like for a statistics consultant.
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
31 Mar 2022
Contributed by Lukas
Lionel Riou-Durand gives a talk on sampling methods. Sampling approximations for high dimensional statistical models often rely on so-called gradient...
Modelling infectious diseases: what can branching processes tell us?
31 Mar 2022
Contributed by Lukas
Professor Samir Bhatt gives a talk on the mathematics underpinning infectious disease models. Mathematical descriptions of infectious disease outbreak...
Causality and Autoencoders in the Light of Drug Repurposing for COVID-19
29 Jul 2021
Contributed by Lukas
Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021. Abstract: Massive data collection holds the promise of a better understanding ...
Recent Applications of Stein's Method in Machine Learning
29 Jul 2021
Contributed by Lukas
Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021. Abstract: Stein's method is a powerful technique for deri...
Do Simpler Models Exist and How Can We Find Them?
29 Jul 2021
Contributed by Lukas
Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021. Abstract: While the trend in machine learning has tended towards more...
Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning
29 Jul 2021
Contributed by Lukas
Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021 Abstract: I discuss the use of the Pareto-k diagnostic as a simple and...
Complexity of local MCMC methods for high-dimensional model selection
02 Jul 2021
Contributed by Lukas
Quan Zhou, Texas A and M University, gives an OxCSML Seminar on Friday 25th June 2021. Abstract: In a model selection problem, the size of the state...
Assessing Personalization in Digital Health
23 Jun 2021
Contributed by Lukas
Distinguished Speaker Seminar - Friday 18th June 2021, with Susan Murphy, Professor of Statistics and Computer Science, Harvard John A. Paulson School...
Machine Learning in Drug Discovery
23 Jun 2021
Contributed by Lukas
Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. Drug discovery is a long and laborio...
Several structured thresholding bandit problems
23 Jun 2021
Contributed by Lukas
OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg). In this talk we will discuss the thresholding band...
A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline
28 May 2021
Contributed by Lukas
Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. Abstract: PAC-Bayes is a generic and flexible framework to addr...
A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline
28 May 2021
Contributed by Lukas
Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. Abstract: PAC-Bayes is a generic and flexible framework to addr...
Approximate Bayesian computation with surrogate posteriors
21 May 2021
Contributed by Lukas
Julyan Arbel (Inria Grenoble - Rhône-Alpes), gives an OxCSML Seminar on Friday 30th April 2021, for the Department of Statistics.
Introduction to Bayesian inference for Differential Equation Models Using PINTS
21 May 2021
Contributed by Lukas
Ben Lambert, Department of Computer Science, University of Oxford, gives the Graduate Lecture on Thursday 6th May 2021, for the Department of Statisti...
On classification with small Bayes error and the max-margin classifier
21 May 2021
Contributed by Lukas
Professor Sara Van de Geer, ETH Zürich, gives the Distinguished Speaker Seminar on Thursday 29th April 2021 for the Department of Statistics.
Convergence of Online SGD under Infinite Noise Variance, and Non-convexity
21 May 2021
Contributed by Lukas
Murat Erdogdu gives the OxCSML Seminar on Friday 12th March, 2021, for the Department of Statistics.
Distribution-dependent generalization bounds for noisy, iterative learning algorithms
17 Mar 2021
Contributed by Lukas
Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021. Abstract: Deep learning approaches dominate in many application areas...
Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery
01 Mar 2021
Contributed by Lukas
Professor Davina Durgana, award-winning international human rights statistician and professor with almost 15 years of experience developing leading gl...
Veridical Data Science for biomedical discovery: detecting epistatic interactions with epiTree
26 Feb 2021
Contributed by Lukas
Bin Yu, Chancellor's Professor, Departments of Statistics and Electrical Engineering and Computer Science, UC Berkeley, gives a seminar for the Depart...
(Not) Aggregating Data: The Corcoran Memorial Lecture
05 Feb 2021
Contributed by Lukas
Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives...
(Not) Aggregating Data: The Corcoran Memorial Lecture
05 Feb 2021
Contributed by Lukas
Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives...
Florence Nightingale Bicentennial Panel Session
05 Feb 2021
Contributed by Lukas
The Florence Nightingale Bicentennial Lecture was followed by a Panel Session with Professor Deborah Ashby, Professor David Cox and Professor David Sp...
Florence Nightingale and the politicians’ pigeon holes: using data for the good of society
07 Jan 2021
Contributed by Lukas
Professor Deborah Ashby, President of the RSS, gives the 2020 Florence Nightingale lecture. Florence Nightingale, best known as the Lady with the Lamp...
Florence Nightingale and the politicians’ pigeon holes: using data for the good of society (Transcript)
07 Jan 2021
Contributed by Lukas
Professor Deborah Ashby, President of the RSS, gives the 2020 Florence Nightingale lecture. Florence Nightingale, best known as the Lady with the Lamp...
Probabilistic Inference and Learning with Stein’s Method
04 Dec 2020
Contributed by Lukas
Part of the Probability for Machine Learning seminar series. Presented by Prof Lester Mackey (Microsoft Research New England and Stanford University)....
Introduction to Deep Learning and Graph Neural Networks in Biomedicine
03 Dec 2020
Contributed by Lukas
Dr. Ekaterina Volkova-Volkmar, Senior Data Scientist, pRED Informatics - Data Science, Roche Pharma Research and Early Development, Roche, Basel, Swit...
Looking back on 4 years in data science
28 Nov 2020
Contributed by Lukas
Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engine...
Black History Month: Exploring the Data Visualizations of W.E.B. Du Bois
23 Oct 2020
Contributed by Lukas
Jason Forrest, Director of Interactive Data Visualization, COVID Response Centre, McKinsey and Co, New York, gives the Department of Statistics Black ...
The Science Media Centre and its work
24 Jun 2020
Contributed by Lukas
Fiona Lethbridge, Science Media Centre, gives a talk on the Science Media Centre and it's work. Fiona is a senior press officer at the Science Media ...
How To Set Up Continuous Integration to Make Your Code More Robust, More Maintainable, and Easier to Publish
10 Jun 2020
Contributed by Lukas
Dr Fergus Cooper, Research Software Engineer, Oxford RSE Group, gives a talk for the department of Statistics on 5th June 2020. Following on from Gra...
Developing better code with automated testing
10 Jun 2020
Contributed by Lukas
Graham Lee, Research Software Engineer, Oxford RSE Group, gives talk for the department of Statistics on 22nd May 2020. Abstract: If we want reliable...
Cluster-Randomised Test Negative Designs: Inference and Application to Vector Trials to Eliminate Dengue
10 Jun 2020
Contributed by Lukas
Nick Jewell, University of California, Berkeley School of Public Health, gives a talk for the departmental of Statistics on 28th May 2020. Abstract: ...
MCMC for Hierachical Bayesian Models Using Non-reversible Langevin Methods
10 Jun 2020
Contributed by Lukas
Radford M. Neal (University of Toronto), gives a talk for the department of Statistics. Hamiltonian Monte Carlo (HMC) is an attractive MCMC method fo...
Maths and Stats in Action – Real-time Analysis to Understand the Novel Coronavirus
11 Mar 2020
Contributed by Lukas
Providing a whirlwind tour of the quantitative analyses currently underway to understand the transmission and control of the novel coronavirus (2019-n...
Bioinformatics at the heart of biology and genomics medicine
27 Apr 2016
Contributed by Lukas
The Ninth annual Florence Nightingale Lecture, given by Professor Dame Janet Thornton, European Bioinformatics Institute, Cambridge. Held on Thursday ...