The conference for e-value theory, anytime-valid inference, game theoretic statistics and related research.
SAVI 2026 is over! Thanks to everyone who participated and for making this an awesome experience!
Program
SAVI 2026 is over! Thanks to everyone who participated and for making this an awesome experience!
You can also subscribe to the iCal version.
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| 09:00 | Opening | KeynoteSnigdha Panigrahi | Talks C1 | KeynoteGert de Cooman | KeynoteVictor H. de la Peña |
| ca. 09:15KeynoteGergely Neu | |||||
| 09:30 | |||||
| 10:00 | Coffee Break | Poster Pitches | Coffee Break | Coffee Break | |
| Coffee Break | |||||
| 10:30 | Talks B1 | Posters C | Talks D1 | Talks E1 | |
| ca. 10:45Talks A1 | |||||
| 11:00 | Open Problem Session | ||||
| 11:30 | |||||
| ca. 11:45KeynoteMorgane Austern | |||||
| 12:00 | Closing | ||||
| Lunch | |||||
| 12:30 | Lunch | Lunch | Lunch | ||
| Lunch | |||||
| 13:00 | |||||
| 13:30 | Talks A2 | Talks B2 | Talks D2 | End | |
| Excursion | |||||
| 14:00 | |||||
| 14:30 | Poster Pitches | Poster Pitches | Poster Pitches | ||
| 15:00 | Posters A | Posters B | Posters D | ||
| 15:30 | |||||
| 16:00 | |||||
| 16:30 | Talks A3 | Talks B3 | Talks D3 | ||
| 17:00 | |||||
| 17:30 | Banquet | ||||
| 18:00 | End | End | End |
- Monday: Bandits & allocation · Game-theoretic statistics · Conformal prediction & forecasting · Confidence sequences & concentration · Sequential testing and adaptive inference
- Tuesday: Multiple testing & FDR · E-process optimality · Closed testing and e-closure · Conditional/sequential inference · Clinical and applied anytime-valid inference
- Wednesday: Foundations of e-values · Universal inference & likelihood ratios · Sequential testing and changepoints · Post-hoc inference & evidence synthesis · Formal methods and e-statistics · Social activity & dinner
- Thursday: Imprecise probabilities · Clinical trials and adaptive designs · Evidence, post-hoc inference & optimal e-values · Decision-making, voting and auditing · Prediction, forecasting and ML applications · Concentration, self-normalization & conditional inference
- Friday: Foundations of anytime-valid inference and future directions
Printing Posters
Posters can be printed at the University of Twente Xerox shop. Send an email with your poster as pdf to xeroxcarre@utwente.nl. Xerox has indicated that they are very busy in the week before and during the conference, so it can take a few days for a poster to be processed and printed. Xerox is situated in the building Carré and is open from 9:15 AM – 1 PM and 1:30 PM – 4:30 PM on Weekdays.
Keynote Speakers
Gergely Neu

Gergely Neu is an ICREA research professor at Universitat Pompeu Fabra, Barcelona, Spain. He has previously worked with the SequeL team of INRIA Lille, France and the RLAI group at the University of Alberta, Edmonton, Canada. He obtained his PhD degree in 2013 from the Budapest University of Technology and Economics, where his advisors were András György, Csaba Szepesvári and László Györfi. His main research interests are in machine learning theory, with a strong focus on sequential decision making problems. Dr. Neu was the recipient of a Google Faculty Research award in 2018, the Bosch Young AI Researcher Award in 2019, an ERC Starting Grant in 2020, and an ERC Consolidator Grant in 2025.
Accommodation
SAVI 2026 will take place in the U Parkhotel, conveniently located on the campus of the University of Twente. The UPark hotel has rooms available for a reduced rate (including breakfast):
- comfort rooms for 135.50€ per room per night
- superior rooms for 145.50€ per room per night
Booking of these rooms is possible until May 3, 2026 (as long as they are available) via the reception desk (bookings@uparkhotel.nl or +31-53-433-1366). You will need a reference code for booking on of the available rooms at a reduced rate: GA001358.
Organization
Local Organizers:
- Rianne de Heide, University of Twente and CWI Amsterdam
- Wouter M. Koolen, CWI Amsterdam and University of Twente
Organizing Team:
- Fabian Damken, University of Twente
- Nynke Luijten, University of Twente
- Aurèle Mingam, Leiden University Medical Center
- Yury Tavyrikov, Vrije Universiteit Amsterdam
- Rovanos Tsafack Nzanguim, University of Twente
Steering Committee:
Registration
The registration for SAVI 2026 has now been opened!
https://www.aanmelder.nl/savi2026/registration
The registration fee is 500 EUR. This includes coffee/tea during the whole event; lunch Mo−Fri; and a conference dinner.
All corresponding authors who submitted an abstract have been notified about the acceptance of talks and posters. We were pleasantly surprised by the quality and quantity of submissions. In turn, we have a tiny worry of possibly reaching the venue capacity, so please register as soon as possible if you intend to come! Attendance is not conditional on having an accepted contribution; everyone is very welcome!
Getting Around
As you probably know, the main form of transport in the Netherlands is biking. However, most cities and especially Enschede and the campus of the University of Twente are walkable and for larger distances, using public transport is the recommended form of travel. The process of using public transport here is generally simple: search for a connection using 9292, check in when boarding your ride, and enjoy the travel.
Payment and “Checking In”
Image Source: NS
Call for Contributions
SAVI 2026 invites contributions in the spirit of an open, idea-driven workshop. This is a space to share cool ideas, new directions, early results, work-in-progress, conceptual sketches, fresh connections, emerging themes, and interesting questions. SAVI topics include:
- Foundations and theory of e-values and test martingales
- Anytime-valid and sequential hypothesis testing
- Optional stopping, optional continuation, and adaptive data analysis
- E-values versus p-values and Bayes factors
- Multiple testing and false discovery control with e-values
- E-values for model selection and comparison
- Game-theoretic statistics, connections to game-theoretic probability and online learning
- E-values in causal inference and adaptive experimentation
- Applications in machine learning, A/B testing, and data streams
- E-values for high-dimensional and nonparametric inference
- Software, computation, and practical implementation of e-values
- Case studies of e-values in real-world scientific and industrial settings
If you’re exploring something exciting in e-values—or something adjacent that should be part of the e-values world—we’d love to hear about it.