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BEGIN:VEVENT
DTSTART;VALUE=DATE:20221003
DTEND;VALUE=DATE:20221008
DTSTAMP:20221001T044132
CREATED:20220413T065701Z
LAST-MODIFIED:20220930T144759Z
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SUMMARY:Workshop "Recent Trends in Spatial Stochastic Processes" (registration closed)
DESCRIPTION:Summary\nThis workshop aims to bring together international researchers that study interacting random systems embedded in space\, covering both theory and applications. The focus is on new developments in a wide range of associated research areas such as point-process theory\, random graphs\, percolation theory\, random tessellations\, first-passage percolation\, random walks\, interlacements\, dynamical random networks and their related application areas\, including wireless networks\, interacting biological systems and mathematical physics. We provide an interesting and relaxed program\, leaving plenty of time for discussions and exchange of scientific ideas. \nOrganizers\n\n\n\nPim van der Hoorn\nTU Eindhoven\n\n\nBenedikt Jahnel\nTU Braunschweig & WIAS Berlin\n\n\nJulia Komjathy\nTU Delft\n\n\n\nSpeakers\n\n\n\nLuisa Andreis\nUniversità degli Studi di Firenze\n\n\nFrançois Baccelli\nINRIA Paris\n\n\nRob van den Berg\nVU University Amsterdam\n\n\nBartek Blaszcyszyn\nINRIA - Paris\n\n\nAlessandra Cipriani\nUniversity College London\n\n\nHanna Döring\nOsnabrück University\n\n\nAlexander Drewitz\nUniversität zu Köln\n\n\nSergei Zuyev\nChalmers University of Technology\n\n\nPeter Gracar\nUniversität zu Köln\n\n\nChristian Hirsch\nArhus University\n\n\nMarie-Colette van Lieshout\nUniversity of Twente\n\n\nDieter Mitsche\nCNRS Lyon\n\n\nTobias Muller\nUniversity of Groningen\n\n\nMathew Penrose\nUniveristy of Bath\n\n\nAlexander Stauffer\nUniversity of Bath\n\n\n\n\n\n\n\nSchedule\nThe schedule for the workshop can be found here. \nPlease note that the conference dinner is now on Tuesday 4th October (instead of 5th October) \nThe schedule together with the abstracts can be found here. \nCall for poster abstracts for young researchers\nOn Monday afternoon 17:00--18:00\, during the welcome drinks we will organize a poster session. If you are interested in bringing and presenting a poster\, please send an email to Pim van der Hoorn (w.l.f.v.d.hoorn@tue.nl) (preferably by 1 Sep 2022). that includes the title and abstract for your poster. [Abstracts sent in later might be considered upon availability of poster stands] \nRegistration\nThere is no fee for this event\, but we kindly ask all speakers\, organizers and participants to register by filling in the online REGISTRATION FORM. \n \n
URL:https://www.eurandom.tue.nl/event/workshop-recent-trends-in-spatial-stochastic-processes/
LOCATION:Eurandom\, Metaforum\, 4th floor\, Eindhoven\, Netherlands
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221102
DTEND;VALUE=DATE:20221105
DTSTAMP:20221001T044132
CREATED:20220407T083843Z
LAST-MODIFIED:20220920T114613Z
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SUMMARY:Workshop YEQT XV "Machine Learning for Stochastic Networks"
DESCRIPTION:Summary\nThe Young European Queueing Theorists (YEQT) workshop is organized annually and aims to bring together young researchers and world-leading experts. State-of-the-art research related to queueing theory\, operations research\, applied probability and related areas are discussed. The event provides an excellent opportunity for developing researchers to interact and exchange ideas in an informal\, friendly\, yet research-focused setting. The program typically consists of presentations by both senior and junior researchers\, and several keynote presentations and tutorials by prominent researchers. \nTheme and aim\nThis year’s theme for the YEQT workshop is Machine Learning for Stochastic Networks. The aim of YEQT XV is to bring together senior researchers who have made substantial contributions to advancing machine learning techniques and the optimization of stochastic networks. The methodological focus will be on research that combines theoretical stochastic modeling and optimization together with modern machine learning techniques. \nTo see the importance\, consider for example that resource management in stochastic networks\, such as occur in data centers and cloud networks\, involves huge challenges due to increasingly heterogeneous applications with highly diverse traffic characteristics and performance requirements. Machine learning techniques and stochastic learning approaches offer tremendous potential to e.g. steer dynamic resource management and drive data replication in a self-optimizing manner. \nKeynote speakers\n\n\n\nTon Dieker\nColumbia University\n\n\nTor Lattimore\nDeepmind\n\n\nLaurent Massoulié\nInria\n\n\nAlexandre Proutiere\nKTH\n\n\n\nInvited speakers\n\n\n\nTim van Erven\nUniversity of University\n\n\nBenjamin Fehrman\nUniversity of Oxford\n\n\nGauri Joshi\nCarnegie Mellon University\n\n\nWouter Koolen\nCWI\n\n\nChristina Lee Yu\nCornell University\n\n\nFrans Oliehoek\nTU Delft\n\n\nRamon Arora\nUniversity of Toronto\n\n\nMihalis Markakis\nIESE Business School\n\n\nShie Mannor\nTechnion\n\n\nArnoud den Boer\nUvA\n\n\n\n \nProgramme\nThe preliminary schedule can be found here. \nAbstracts\nGauri Joshi\nDistributed Online Convex Optimization\nIn the first half of the talk\, I will give an introduction to online convex optimization (OCO)\, which is a very general framework for sequential prediction tasks. Then\, in the second half\, I will present recent results on distributed online convex optimization in a setting in which multiple agents are cooperating across a network to jointly solve a single OCO task.\nThis is joint work with Dirk van der Hoeven and Hédi Hadiji. \nFrans Oliehoek\nSequential decision making from the perspective of influence-based abstraction\nReinforcement learning (RL) and more generally sequential decision making deal with problems where the decision maker ('agent') needs to take actions over time. While impressive results have been achieved on challenging domains like Atari\, Go\, and Starcraft\, most of this work relies on neural networks to form their own internal abstractions. However\, in many cases\, we may be able to exploit some knowledge about the domains to guide this process. \nTherefore\, in this talk\, I will present a more analytical approach towards abstraction. Specifically\, I will cover some of the results of the ERC starting grant project 'INFLUENCE'\, which has further developed the framework of 'influence-based abstraction'. The idea is to describe a complex system from the perspective of a local decision problem. For instance\, when trying to optimize the traffic flow at an intersection in a large city\, it makes intuitive sense that we might be able to perform some local optimization\, as long as we take into account how this problem is influenced over time. In my talk\, I will give a formal definition of such 'influence' and discuss different ways in which we have leveraged this perspective in recent years. \nArnoud den Boer\nCartel formation by data-driven price algorithms\nan price algorithms learn to form a cartel instead of compete against each other\, potentially leading to higher consumer prices and lower social welfare? The question is controversial among economists and competition policy regulators. One the one hand\, concerns have been expressed that self-learning price algorithms do not only make it easier to form price cartels\, but also that this can be achieved within the boundaries of current antitrust legislation – raising the question whether the existing competition law needs to be adjusted to mitigate undesired algorithmic collusion. On the other hand\, a number of economists believe that algorithms learning to collude is science fiction\, except by using forms of signaling or communication that are already illegal\, and argue that there is no need to change antitrust laws. Motivated by this discussion\, I will present recent work on learning supra-competitive prices in price and assortment games. \nBased on joint work with Janusz Meylahn\, Thomas Loots\, and Ali Aouad. \nMore abstracts will soon follow. \nOrganization\nYEQT XV is being organized by Jaron Sanders (TU/e)\, Peter Verleijsdonk (TU/e)\, and Kuang Xu (Stanford). \nRegistration\nThe registration for the workshop can be found through this link
URL:https://www.eurandom.tue.nl/event/workshop-yeqt-xv-machine-learning-for-stochastic-networks/
LOCATION:Eurandom\, Metaforum\, 4th floor\, Eindhoven\, Netherlands
CATEGORIES:YEQT
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221212
DTEND;VALUE=DATE:20221217
DTSTAMP:20221001T044132
CREATED:20220214T101828Z
LAST-MODIFIED:20220221T085602Z
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SUMMARY:Workshop: "Recent Developments in Stochastic Duality"
DESCRIPTION:Summary\nDuality is a key technique in Markov process theory\, with applications in interacting particle systems\, non-equilibrium statistical physics\, and stochastic population dynamics. In recent years several new developments in the theory of duality have taken place\, with applications in the above three areas. Examples include the Lie-algebraic approach to duality\, the use of duality for integrable systems\, random processes on random graphs\, and population dynamics with seed-banks. \nIn the workshop we aim to bring together experts in these areas\, with the goal to exchange ideas and formulate new research challenges. We plan to focus both on fundamental aspects of duality – such as the algebraic approach and the path-wise approach – and on applications in non-equilibrium behaviour\, hydrodynamic limits\, complex networks\, and multi-type genetic populations. \nSponsors\n\n\n\n\n\n\n\n\n\n\n\n\nOrganizers\n\n\n\nSimone Floreani\nDelft University of Technology\n\n\nCristian Giardina\nUniversità degli Studi di Modena e Reggio Emilia\n\n\nFrank den Hollander\nLeiden University\n\n\nShubhamoy Nandan\nLeiden University\n\n\nFrank Redig\nDelft University of Technology\n\n\n\nSpeakers\n(confirmed) \nAlgebraic approach to duality \n\n\n\nGioia Carinci\nUniversità degli Studi di Modena e Reggio Emilia\n\n\nRouven Frassek\nUniversità degli Studi di Modena e Reggio Emilia\n\n\nWolter Groenevelt\nDelft University of Technology\n\n\nJeffrey Kuan\nTexas A&M University\n\n\nChiara Franceschini\nUniversità degli Studi di Modena e Reggio Emilia\n\n\nYier Lin\nUniversity of Chicago\n\n\n\nDuality in complex networks and population dynamics \n\n\n\nJochen Blath\nTU Berlin\n\n\nAndreas Greven\nUniversity of Erlangen\n\n\nMaite Wilke Berenguer\nHumboldt Universität Berlin\n\n\nShubhamoy Nandan\nLeiden University\n\n\nAnita Winter\nUniversität Duisburg Essen\n\n\n\nDuality and non-equilibrium \n\n\n\nJorge Kurchan\nÉcole normale supérieure\n\n\nChristian Maes\nKU Leuven\n\n\nErrico Presutti\nGran Sasso Science Institute\n\n\nGunter Schütz\nForschungszentrum Jülich\n\n\nGuillaume Barraquand\nÉcole normale supérieure\n\n\nSimone Floreani\nDelft University of Technology\n\n\n\nDuality in the continuum\, path-wise duality \n\n\n\nSabine Jansen\nLudwig Maximilians Universität München\n\n\nRongfeng Sun\nNational University of Singapore\n\n\nJan Swart\nCzech Academy of Sciences\n\n\nJon Warren\nUniversity of Warwick\n\n\nJan Niklas Latz\nCzech Academy of Sciences\n\n\nStefan Wagner\nLudwig Maximilians Universität München\n\n\n\nDuality and SPDE \n\n\n\nPatricia Gonçalves\nTécnico Lisboa\n\n\nCarl Mueller\nUniversity of Rochester\n\n\nFederico Sau\nInstitute of Science and Technology Austria\n\n\nMario Ayala\nINRAE\n\n\nFederico Capannoli\nLeiden University\n\n\nBenjamin Fehrman\nUniversity of Oxford
URL:https://www.eurandom.tue.nl/event/workshop-recent-developments-in-stochastic-duality/
LOCATION:Eurandom\, Metaforum\, 4th floor\, Eindhoven\, Netherlands
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230313
DTEND;VALUE=DATE:20230316
DTSTAMP:20221001T044132
CREATED:20220613T140814Z
LAST-MODIFIED:20220929T092433Z
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SUMMARY:YES Causal Inference
DESCRIPTION:Summary\nCausal inference is at the center of research. Perhaps because of its central position in so many sciences\, multiple perspectives have arisen from which causal inference is studied. Two popular ones are the potential outcomes framework and the graphical approach. In this workshop\, researchers from many domains (mathematics\, (bio)statistics\, economics\, computer science\, social science\,...) will look for common ground in their approaches towards causal inference. \nThe workshop is aimed at junior researchers working in causal inference\, from any domain. There will be two tutorials\, one about the potential outcomes framework and one about the graphical approach. In addition\, there will be keynote lectures\, talks by participants and a poster session. Confirmed tutorial and keynote speakers include Sara Magliacane (University of Amsterdam)\, Mats Julius Stensrud (EPFL)\, Leonard Henckel (University of Copenhagen)\, Rhian Daniel (Cardiff University) and Sonja Swanson (University of Pittsburgh \nOrganisers\n\n\n\nStéphanie van der Pas\nAmsterdam UMC\n\n\n\nRichard Post\nEindhoven University of Technology\n\n\n\nJoris Mooij\nUniversity of Amsterdam\n\n\n\n\nRegistration\nThe registration for the workshop can be found through this link. Registration closes on October 28. \nPlease fill out the form to express your interest in participation in the workshop. Space is limited and the organizing committee may have to make a selection. Results will be announced in November. Selected applicants will be invited to register at that time. The registration fee is expected to be 50 euros.
URL:https://www.eurandom.tue.nl/event/yes-causal-inference/
LOCATION:Eurandom\, Metaforum\, 4th floor\, Eindhoven\, Netherlands
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230327
DTEND;VALUE=DATE:20230401
DTSTAMP:20221001T044132
CREATED:20220124T082831Z
LAST-MODIFIED:20220124T082831Z
UID:4455-1679875200-1680307199@www.eurandom.tue.nl
SUMMARY:YEP XVIII: "Spectra of random graphs and related combinatorial problems"
DESCRIPTION:Summary\nSince the first workshop in 2004\, the Young European Probabilists (YEP) series has spawned 17 highly successful editions on a wide range of topics.\nThe theme of its 18th edition\, will be spectra of random graphs\, random matrices and related combinatorial problems.\nThe study of matrices with random entries started in the 1950’s and has grown into an immense body of literature until today. While the initial focus was on problems in statistical physics\, in recent times random matrices have proven to be an important tool also in a variety of other fields like statistics\, network analysis\, image processing or machine learning. Moreover\, there has been great progess in the study of matrices which arise naturally in random graphs\, like the adjacency matrix\, the Laplacian matrix\, or the transition matrix of the random walk on the graph. The recent theoretical advances in this area are remarkable and one of the key goals of the workshop is to understand the information contained in eigenvalues and eigenvectors of high-dimensional random matrices. A second point of focus are applications of tools stemming from random graphs theory that can be used to study the spectrum of random matrices.\nIn this workshop\, we provide a platform where young and more senior researchers from the area of random matrices\, random graphs and related topics can come together and exchange their research\, find new collaborations and learn about different perspectives on the topic. \nOrganizers\n\n\n\nAlessandra Cipriani\nUCL\n\n\nRajat Subhra Hazra\nLeiden University\n\n\nMatteo Quattropani\nLeiden University\n\n\nNoela Müller\nTU Eindhoven\n\n\n\nScientific advisory committee \n\n\n\nRemco van der Hofstad\nTU Eindhoven\n\n\nFrank den Hollander\nLeiden University\n\n\n\nSpeakers\nTutorial Speakers (tentative) \n\n\n\nAntti Knowles\nUniversity of Geneva\n\n\nJustin Salez\nUniversité Paris-Dauphine - CEREMADE\n\n\nAlice Guionnet\nENS de Lyon UMPA
URL:https://www.eurandom.tue.nl/event/yep-xviii-spectra-of-random-graphs-and-related-combinatorial-problems-2/
LOCATION:Eurandom\, Metaforum\, 4th floor\, Eindhoven\, Netherlands
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230515
DTEND;VALUE=DATE:20230518
DTSTAMP:20221001T044132
CREATED:20220406T151432Z
LAST-MODIFIED:20220406T151517Z
UID:4564-1684108800-1684367999@www.eurandom.tue.nl
SUMMARY:Workshop: Numerical Analysis of Stochastic Partial Differential Equations (NASPDE)
DESCRIPTION:Summary\nThe NASPDE workshop has been hosted approximately once a year since 2007. The aim of this three-day workshop is to gather leading researchers working on various aspects of numerical methods for stochastic PDEs and/or PDEs with uncertain input\, as well as their applications in science and engineering. Topics to be covered range from the analysis and implementation of numerical schemes for PDEs with uncertainty to recent developments in sampling (Monte Carlo) strategies and Bayesian inverse problems\, as well as real-world applications of differential equations with randomness. \nOrganizers\n\n\n\nSonja Cox\nUniversity of Amsterdam\n\n\nKristin Kirchner\nDelft University of Technology\n\n\nGabriel Lord\nRadboud University\n\n\n\nSpeakers\n\n\n\nCharles-Edouard Bréhier\nCNRS & Université Lyon 1\, FR\n\n\nJon Cockayne\nUniversity of Southampton\, UK\n\n\nDavid Cohen\nChalmers University of Technology\, SE\n\n\nDan Crisan\nImperial College London\, UK\n\n\nKonstantinos Dareiotis\nUniversity of Leeds\, UK\n\n\nSvetlana Dubinkina\nVrije Universiteit Amsterdam\, NL\n\n\nLudovic Goudenège\nCNRS CentraleSupélec\, FR\n\n\nHermen Jan Hupkes\nUniversity of Leiden\, NL\n\n\nFinn Lindgren\nUniversity of Edinburgh\, SC\n\n\nAnnie Millet\nUniversité Paris 1 Panthéon Sorbonne\, FR\n\n\nAntonios Papapantoleon\nDelft University of Technology\, NL\n\n\nClaudia Schillings\nUniversity of Mannheim\, DE\n\n\nChristoph Schwab\nETH Zürich\, CH\n\n\nStefanie Sonner\nRadboud University\, NL\n\n\nAretha Teckentrup\nUniversity of Edinburgh\, SC\n\n\nRaul Tempone\nRWTH Aachen\, DE & KAUST\, SA\n\n\n\n \nmore information to follow later.
URL:https://www.eurandom.tue.nl/event/workshop-numerical-analysis-of-stochastic-partial-differential-equations-naspde/
LOCATION:Eurandom\, Metaforum\, 4th floor\, Eindhoven\, Netherlands
CATEGORIES:Workshop
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