This autumn school is dedicated to recent advances in probabilistic machine learning. The program will feature several courses and keynote presentations covering a broad range of topics, including:
Generative modeling
Optimization
Differential privacy
Federated learning
Conformal prediction
Evasion attacks in AI
In addition, there will be dedicated sessions for contributed talks and poster presentations, with a particular emphasis on the work of Ph.D. candidates and postdoctoral researchers.
The event is open to all, and we especially encourage students from diverse backgrounds, ranging from computational statistics to applied probability, to participate.
Can I present my work?
If you would like to present your work, please submit an abstract for a contributed talk or a poster (see the Submission instructions). All contributions related to the topics listed above are welcome, though submissions on other relevant themes will also be considered.
Breakfast, lunch, and dinner throughout the week (from Sunday Diner to Friday Lunch)
Registration will be confirmed upon receipt of the participation fee.
Scholarships are available upon request. Please refer to the dedicated page on this website for details.
Important Dates
Scholarships
Deadline for application: 5th of May
Answer to applicants: 19th of May
Submissions
Opening: 6th of February
Deadline:28th of April 12th of May.
Response for acceptation: upon 20th of May.
Registrations
Early bird: from the 6th of february to 26th of May
Late: from 27th of May to 31st of July
Cancellation conditions
In the event of outright cancellation of your registration for the conference, a refund of the registration fee will be possible on written request by e-mail to [email protected] before May 26, 2025, with a deduction of €100. After this date, no refund will be possible.