May 2023 - Machine-learning-nederland

June 7, 15:00 Machine Learning Theory Seminar++ Meeting with Odysseas Kanavetas
by Wouter Koolen-Wijkstra 31 May '23

31 May '23

Dear researchers, Centrum Wiskunde & Informatica (CWI) kindly invites you seventh Seminar++ meeting on Machine Learning Theory, taking place on Wednesday June 7 from 15:00 - 17:00. These Seminar++ meetings consist of a one-hour lecture building up to an open problem, followed by an hour of brainstorming time. The meeting is intended for interested researchers including PhD students. These meetings are freely accessible without registration. Cookies, coffee and tea will be provided in the half-time break. The meeting of 7 June will be hosted by: Odysseas Kanavetas <https://www.universiteitleiden.nl/en/staffmembers/odysseas-kanavetas#tab-1> Assistant Professsor at the University of Leiden <https://www.universiteitleiden.nl/en>. Asymptotically optimal control for Markov Decision Processes (MDP) under side constraints *Abstract:* After a brief review of the multi-armed bandit (MAB) problem and its online machine learning applications, we present our work on the model with side constraints. The constraints represent circumstances in which bandit activations are restricted by the availability of certain resources that are replenished at a constant rate. Then, we consider the problem of adaptive control for Markov Decision Processes (MDP), under side constraints, when there is incomplete information for the transition probabilities and its rewards. Under suitable irreducibility assumptions for the MDP we establish a lower bound for the regret. An open problem is to construct adaptive policies that maximize the rate of convergence of realized rewards to that of the optimal (non adaptive) policy under complete information. We also discuss applications for queuing control problems and reliability models. The event takes place in room L016 in the CWI building, Science Park 123, Amsterdam. The Seminar++ Meetings are part of the Machine Learning Theory Semester Programme <https://www.cwi.nl/en/events/cwi-research-semester-programs/research-progra…>, which runs in Spring 2023. Best regards on behalf of CWI from the program committee, Wouter Koolen

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Two PhD vacancies in Reinforcement Learning @ Leiden University
by Moerland, T.M. (Thomas) 31 May '23

31 May '23

Dear all, The Leiden Institute of Advanced Computer Science (LIACS) is looking for two PhD candidates in the field of Reinforcement Learning. Should you know interested/suitable candidates, then further details are available from: https://www.universiteitleiden.nl/vacatures/2023/q2/13746-2-phd-candidates-… Best regards, Thomas Moerland T.M. (Thomas) Moerland Assistant Professor Leiden University https://thomasmoerland.nl<http://thomasmoerland.nl/>

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Mailing list configuration issue resolved
by Tim van Erven 22 May '23

22 May '23

Dear all, A message about the list administration: Recently e-mails from the mailing list could not be delivered to some users, whose universities have tightened anti-spam measures (using the DMARC protocol). This issue should have been fully resolved several weeks ago, but users may have been automatically unsubscribed after too many failed delivery attempts. If you know someone who has been automatically unsubscribed, please let them know they can resubscribe to the mailing list, and everything should be fine again. Sorry for the inconvenience. Best regards, Tim (machine learning Nederland mailing list admin) -- Tim van Erven <tim(a)timvanerven.nl> www.timvanerven.nl

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L2RPN Delft 2023 competition
by Delft AI Energy Lab 17 May '23

17 May '23

L2RPN Delft 2023 We are excited to announce the next “Learning to Run a Power Network” (L2RPN) competition is happening in the Netherlands! The L2RPN is a series of competitions designed to train an Artificial Intelligence (AI) agent to operate a power network. The L2RPN Delft 2023 competition offers an exciting and exclusive opportunity for students and researchers only in the Netherlands to test their AI solutions against others in a realistic and challenging environment. Form a team and register now! Develop AI solutions, collaborate with fellow innovators, and win prizes up to €1500! We invite you to visit the competition website<https://codalab.lisn.upsaclay.fr/competitions/12420> and join the kick-off meeting<https://docs.google.com/forms/d/e/1FAIpQLSe9ly0ADSW6_wXgBHH9YAAT_STvlIdsqgP…> to learn more about the competition! Important information: * Register for the competition here: https://codalab.lisn.upsaclay.fr/competitions/12420 * Register for Kick-off meeting here<https://docs.google.com/forms/d/e/1FAIpQLSe9ly0ADSW6_wXgBHH9YAAT_STvlIdsqgP…>: 13:00 7-June-2023, location: D@ta hall, EWI, TU Delft. * Competition starts from 7-June-2023 and ends on 1-September-2023. * Know someone interested? Please forward this email! Please don’t hesitate to contact us if you have any questions. On behalf of L2RPN Delft 2023 team Ali Rajaei PhD student Delft AI Energy Lab TU Delft https://www.tudelft.nl/ai/delft-ai-energy-lab

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May 24, 15:00 Machine Learning Theory Seminar++ Meeting with Sophie Langer
by Wouter Koolen-Wijkstra 16 May '23

16 May '23

Dear researchers, Centrum Wiskunde & Informatica (CWI) kindly invites you sixth Seminar++ meeting on Machine Learning Theory, taking place on Wednesday May 24 from 15:00 - 17:00. These Seminar++ meetings consist of a one-hour lecture building up to an open problem, followed by an hour of brainstorming time. The meeting is intended for interested researchers including PhD students. These meetings are freely accessible without registration. Cookies, coffee and tea will be provided in the half-time break. The meeting of 24 May will be hosted by: Sophie Langer <https://sites.google.com/view/sophielanger/start> Assistant Professsor at the University of Twente <https://www.utwente.nl/en/> *Image classification: A (new) statistical viewpoint* *Abstract:* In this talk we consider a simple supervised classification problem for object recognition on grayscale images. There are two possible perspectives to solve this problem. Firstly, one can interpret object recognition as a high-dimensional classification problem, where every pixel is a variable. The task is then to map these pixel values to the conditional class probabilities or the labels. Increasing the dimension makes the problem considerably harder, leading to slow convergence rates due to the curse of dimensionality. Another perspective is to view images as two-dimensional objects. Increasing the number of pixels leads to higher resolution and therefore better performance is expected for large images. Following the second route, we present a new image deformation model, for which we propose and analyze two different classifiers. The first method estimates the image deformation by support alignment. Under a minimal separation condition, it is shown that perfect classification is possible. The second method fits a CNN to the data. We derive a rate for the misclassification error depending on the sample size and the number of pixels /d^2 /. Both classifiers are empirically compared on images generated from the MNIST handwritten digit database. The event takes place in room L016 in the CWI building, Science Park 123, Amsterdam. The Seminar++ Meetings are part of the Machine Learning Theory Semester Programme <https://www.cwi.nl/en/events/cwi-research-semester-programs/research-progra…>, which runs in Spring 2023. Best regards on behalf of CWI from the program committee, Wouter Koolen

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AIM cluster workshop on 1 & 2 June @Twente - register now!
by AI and Mathematics 04 May '23

04 May '23

Dear all, We would like to draw your attention to the next AIM<https://aimath.nl/> workshop on 1&2 June in Twente. We hope to see many of you there! The AIM team [cid:image001.jpg@01D97E91.0F254A00]Don't miss out on the second AIM cluster workshop, taking place on 1 & 2 June at the University of Twente! Organized in collaboration with the Dutch Mathematics Clusters, this workshop aims to strengthen the synergy between different areas of mathematics in AI and bring together researchers across mathematics. Over the course of two days, thematic sessions will highlight connections between the different clusters and provide opportunities for networking and collaboration. Additionally, there will be a panel discussion featuring experts Karen Aardal (TUD) and Wil Schilders (TU/e). There will also be the opportunity to present posters. If you would like to present a poster, please let us know by sending an email to aim(a)nwo.nl<mailto:aim@nwo.nl>. The four thematic sessions will be on the topics: * Geometric Deep Learning session chairs: Remco Duits (TU/e), Bram Mesland (LEI) * Learned Optimization session chairs: Barbara Franci (UM), Julia Olkhovskaya (VU) * Robust AI session chairs: Tim van Erven (UvA), Sophie Langer (UT) * Scientific Machine Learning chairs: Tristan van Leeuwen (CWI), Christoph Brune (UT) Whether you're a researcher, student, or industry professional, this workshop is a great opportunity to learn about the latest developments in AI and mathematics, and connect with peers and experts in the field. To see the updated list of speakers and register for the workshop, please visit the website.<https://www.utwente.nl/en/eemcs/sacs/aim2023/> We look forward to seeing you there!

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Machine-learning-nederland May 2023