Statistics Summer School at Warwick 2026
LMS Research Summer School in Robust Statistics and Reliable Learning Algorithms will be held from 29th June to 3rd July 2026 at the University of Warwick, Coventry, UK.
Applications for the Summer School are now open! Click hereLink opens in a new window to apply.
Following on from the success of the P@W Summer SchoolLink opens in a new window in 2025, the LMS Research Summer School in Robust Statistics and Reliable Learning Algorithms will be held at the University of Warwick from the 29th June to 3rd July 2026. We gratefully acknowledge support from the London Mathematical Society and CRiSM.
The ambition of the summer school is to expose PhD students and early-career researchers to research themes at the forefront of robust statistics, broadly interpreted. It will feature three lecture courses and plenary talks by the world's leading experts in the field, covering topics such as: conformal prediction and distribution-free inference, algorithmic robustness and stability, differential privacy and data contamination. There will also be the opportunity for attendees to present their work, social events and a summer school dinner.
The school is organised by the Department of StatisticsLink opens in a new window, and will be held in the Mathematical Sciences BuildingLink opens in a new window and the Zeeman Building.Link opens in a new window
Short Course Lecturers
- Rina Foygel BarberLink opens in a new window, Department of Statistics, University of Chicago (US)
- Ilias DiakonikolasLink opens in a new window, Computer Sciences Department, University of Wisconsin-Madison (US)
- Po-Ling LohLink opens in a new window, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge (UK)
Plenary Speakers
- Arthur GrettonLink opens in a new window, Gatsby Computational Neuroscience Unit, University College London (UK)
- Olga KloppLink opens in a new window, ESSEC Business School and CREST (France)
Abstracts (working)
Short courses
- Algorithmic Robust Statistics (Ilias Diakonikolas): The course will provide an overview of algorithmic techniques developed for various high-dimensional robust statistical problems, associated statistical-computational tradeoffs, and data analysis applications.
- Topics in robustness and privacy (Po-Ling Loh)
Plenary talks
Organising Committee: Thomas Berrett, Yudong Chen, Kathrin Schutrumpf, Wenkai Xu, Yi Yu
Contact: {tom.berrett, yudong.chen, wenkai.xu, yi.yu.2} [at] warwick [dot] ac [dot] uk
Poster session and short talk session
We invite contributions from all PhD students and early career researchers to the poster session, which will take place during the welcome reception on Monday 29th June, and to the short talk (10-min each) session on Thursday 2nd July. The presented work may be in any area of statistics or machine learning and does not need to align with the summer school’s main theme. Please submit an abstract of your recent or ongoing work and indicate whether you would prefer to present it as a poster or as a 10-min short talk. You will receive a separate confirmation from the organisers regarding the acceptance of your submission.
Applications and registration fees
APPLICATION PAGELink opens in a new window
Please submit a CV, contact details of a referee, an abstract of your recent or ongoing work (if you are interested to present) and indicate whether you would like to present your work as a poster or as a 10-min short talk. Your application will then be confirmed via email. The deadline for applications is 7th December 2025 and decisions will be communicated by 16th January 2026.
All accepted applicants will then be required to pay a registration fee to confirm their place. The fees are as follows:
- £150 for research students;
- £250 for early career researchers (within five years of completing their PhD, excluding career breaks).
Schedule
The summer school will take place in the Mathematical Sciences BuildingLink opens in a new window and the Zeeman BuildingLink opens in a new window, which are connected by enclosed bridges. Once confirmed, the precise venues for registration, talks, refreshment and lunch breaks and the summer school dinner will appear here.
SCHEDULELink opens in a new window
Useful Information
Accommodation
We will provide bed-and-breakfast accommodation on campus for lecturers, plenary speakers and accepted participants. Details will follow here. If you do not require accommodation then please indicate this in the application form or let one of the organising committee know.
For alternative off-campus accommodation, please check online travel platforms. Coventry, Kenilworth and Leamington Spa are well-connected to the University using public transport and offer a good range of accommodation.
Campus map
The university has both interactive and pdf versions of campus mapLink opens in a new window.
The summer school will be held in the Mathematical Sciences BuildingLink opens in a new window and the Zeeman BuildingLink opens in a new window, on central campus.
Internet access
- Campus: Wireless access is most easily available via eduroamLink opens in a new window. Participants without an academic affiliation should use the Warwick GuestLink opens in a new window network.
Campus Security
- Emergency: 024 7652 2222 (x22222)
- Security: 024765 22083 (x22083)
Travel to Campus
The University of Warwick which can be reached from
- Coventry, Leamington Spa or Kenilworth: there are buses running from these destinations to the University of Warwick. Details can be found using this link.Link opens in a new window
- Birmingham International (BHX) is the closest airport to the University. There is a train station within the airport from which regular trains to Coventry depart.
- London, for anyone arriving to London by plane or train, we recommend the following train routes:
- London Euston to Coventry with Avanti WestcoastLink opens in a new window
- London Euston to Canley with London Northwestern RailwayLink opens in a new window
- London Marylebone to Leamington Spa with CrossCountryLink opens in a new window
For more information, check this linkLink opens in a new window.
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