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[summer school] PrefStat 2025 in Oslo: schedule announced & early-bird extended
by Valeria Vitelli 16 Apr '25

16 Apr '25

Dear all, A *tentative schedule* for the PrefStat summer school 2025 is now announced! Find out more here <https://www.prefstat.org/schedule/>. *Early-bird registration deadline* is now also postponed to **** April 30th, 2025 **** *Preference Statistics summer school* Detailed information on the website <https://www.integreat.no/events/public-events/workshops/prefstat-summer-sch…> Dates: *June 30th - July 4th, 2025* Place: Blindern, *University of Oslo*, Niels Henrik Abels building *Target audience* Researchers in the area of data science, machine learning, statistics, and related fields. Master students with basic skills in machine learning and statistics are also welcome. PrefStat aims to provide participants with a solid foundation in preference learning, and to equip them with the skills and knowledge necessary to apply these methods to real-world problems. *Course description* The PrefStat summer school is a high-level course on cutting-edge topics in the specific context of Statistical Learning from Preference Information, or Preference Learning. The course is designed to provide a comprehensive overview of preference statistics, a rapidly growing field that has gained significant attention in recent years due to the numerous application fields involving human preferences: recommender systems, Large Language Models, surveys and psychological experiments, marketing, economics, and political science. Preference learning is concerned with all data analyses involving preferences, rankings, ratings, clicking, or any kind of ordinal data. It entails modeling experiments involving a set of assessors (experts, judges, users) who express order relations about a set of items, thus being a subfield of both supervised and unsupervised statistical learning. The school provides a deep introduction to the topic and insight into more challenging tasks that are of interest in modern applications, such as handling partial, unstructured, exogenous information, individual preference prediction, and importance feature selection. PrefStat 2025 combines lectures delivered by internationally leading scholars on the specific designated topic and supervised practical tutorials. Feel free to contact us (ccied) for inquiries. We are happy to welcome you to Oslo in June! Warm regards and Happy Easter, Valeria -- Valeria Vitelli Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Norway group page: https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio… <https://www.med.uio.no/imb/english/research/groups/statistics-high-dimensio…> mailto: valeria.vitelli(a)medisin.uio.no

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OWABI - Ayush Bharti - April 24
by Massimiliano Tamborrino 15 Apr '25

15 Apr '25

Dear all, the next OWABI seminar<http://www.warwick.ac.uk/oneworldabc> is scheduled on Thursday the 24th April at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference ", with an abstract reported below. The talk will be exceptionally streamed on Zoom https://chalmers.zoom.us/j/67207457257 (password 201659), Abstract: Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, and the fact that this cost often depends on parameter values. We therefore propose cost-aware SBI methods which can significantly reduce the cost of existing sampling-based SBI methods, such as neural SBI and approximate Bayesian computation. This is achieved through a combination of rejection and self-normalised importance sampling, which significantly reduces the number of expensive simulations needed. Our approach is studied extensively on models from epidemiology to telecommunications engineering, where we obtain significant reductions in the overall cost of inference. Keywords: simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling In the meantime, enjoy the Easter break. Best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Fwd: Corso su biliardi a Cortona, 29 giugno - 4 luglio 2025
by Elisabetta Candellero 14 Apr '25

14 Apr '25

Ricevo e inoltro volentieri: *Dal 29 giugno al 4 luglio la Scuola Matematica Interuniversitaria organizza al Palazzone di Cortona un corso su dinamica dei biliardi, tenuto da Chris Burdzy e Marco Lenci. Il termine delle iscrizioni e' a fine aprile. I candidati ammessi vengono ospitati al Palazzone.* Piu' informazioni sono reperibili al seguente link: https://www.smi-math.unipr.it/cortona/30/ . Elisabetta

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PhD course "Statistical mechanics and disordered systems"
by Michele Salvi 14 Apr '25

14 Apr '25

Dear all, This is the first announcement for the PhD course Statistical mechanics and disordered systems that will be held by Professor Quentin Berger (Université Sorbonne Paris Nord) at the Mathematics Department of the University of Rome, Tor Vergata, from May 26th until June 19th. Researchers, professors and advanced master students are all welcome to attend. Don't hesitate to reach out to us if you need the CFU validation. Synopsis The course will start with a broad introduction on Statistical Mechanics models and the problem of disorder relevance. In the second part, it will focus on the Directed Polymer model and discuss recent results about its phase transition and scaling limit. A full abstract can be found at https://www.mat.uniroma2.it/~rds/events.php . Schedule The lectures will take place in Aula Dal Passo from 13:30 until 16h00 on the following dates May 26 (Mon) June 3 (Tue) June 5 (Thu) June 9 (Mon) June 12 (Thu) June 16 (Mon) June 19 (Thu) (total about 20 hours) We strongly encourage in-person participation, especially for PhD students. Should you be unable to attend one or more lectures, you can follow the streaming at https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…"Tid"%3a"24c5be2a-d764-40c5-9975-82d08ae47d0e"%2c"Oid"%3a"650fc4a8-4cec-4bd2-87bc-90d134074fe6”} <https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…> The course is part of the Excellence Project MatMod@TOV.

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Kolmogorov Meets Turing 2025
by Marco Scarsini 13 Apr '25

13 Apr '25

The 2025 edition of the Kolmogorov Meets Turing <https://sites.google.com/view/kmt-2025/home> Workshop will take place on Wednesday May 14 at Luiss University. The goal of this workshop is offering a multidisciplinary perspective of recent research directions in different areas, including applied probability, discrete mathematics, game theory, and theoretical computer science, whose common denominator is the application of probabilistic tools to the analysis of strategic models, complex stochastic processes, and algorithms. Participation in the workshop is free, but, for logistic reasons, we need to have a list of participants. If you are interested in participating, please fill out this form <https://forms.gle/m3fQYZXWP61oqCpW7> by April 30, 2025. ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss University Viale Romania 32 00197 Roma, ITALY

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PhD position in Dresden (Institute of Mathematical Stochastics) - Paolo Di Tella
by Giorgia Callegaro 13 Apr '25

13 Apr '25

Dear all, it is my pleasure to forward the announcement of a 3-year PhD position in TU Dresden, under the supervision of Paolo Di Tella. Deadline for applications: *8th May 2025*. All the details can be found here: https://www.verw.tu-dresden.de/StellAus/stelle.asp?id=12074&lang=en&style=c… Good luck, Giorgia Callegaro -- Giorgia Callegaro Associate Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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Seminario di Matematica, Scienza & Società a Roma1
by Faggionato, Alessandra 13 Apr '25

13 Apr '25

Buongiorno, ricevo e con piacere inoltro. Saluti Alessandra ---------- Forwarded message --------- From: Teta, Alessandro <teta(a)mat.uniroma1.it> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Avviso di seminario di Matematica, Scienza & Società Lunedì 14 aprile 2025, alle ore 17.00 Aula Picone del Dipartimento di Matematica G. Castelnuovo di Sapienza Università di Roma *Riccardo Adami (Politecnico di Torino)La seconda rivoluzione quantistica: il gatto ci spia ma il collasso ci protegge* Sommario Oltre alla fisica e alla matematica, la Meccanica Quantistica ha rivoluzionato le esistenze degli uomini e delle donne, rendendo possibili dispositivi prima impensabili: le invenzioni del transistor, del laser e del led sono tre dei passaggi chiave della cosiddetta “rivoluzione tecnologica quantistica”. Oggi siamo alla vigilia della seconda rivoluzione, che sarà segnata dalla realizzazione del computer quantistico e di altre nuove tecnologie. Una novità della seconda rivoluzione è che essa si realizzerà nel segno della semplicità: invece di essere sistemi composti da molte particelle, i nuovi dispositivi sfrutteranno le caratteristiche quantistiche delle singole particelle. Siccome è proprio nei sistemi semplici che entra in gioco la stranezza del mondo quantistico, la progettazione delle nuove tecnologie sta riaprendo il dibattito sulla visione del mondo che origina dalla meccanica quantistica. Esploreremo alcune delle questioni filosofiche ritornate di attualità, anche alla luce delle applicazioni a una scienza ormai pervasiva quanto necessaria: la crittografia. Per le registrazioni dei seminari già svolti e altre informazioni visita il sito https://sites.google.com/view/alessandro-teta/matematica-scienza-e-societa?… F. Dell'Isola, M. Pulvirenti, E. Rogora, B. Scoppola, A. Teta %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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Seminario di Fraydoun Rezakhanlou a Roma1
by Faggionato, Alessandra 13 Apr '25

13 Apr '25

Seminario congiunto di Probabilità e Fisica Matematica Dipartimento di Matematica "G. Castelnuovo" Università di Roma La Sapienza Martedì 15 aprile, ore 14:00, sala di Consiglio Fraydoun Rezakhanlou (UC Berkeley) *Periodic orbits for stochastically stationary Hamiltonian ODEs* Abstract. For a stochastically stationary Hamiltonian ODE in a Euclidean space, the set of periodic orbits yields a translation invariant random process. In this talk I will discuss an ergodic theorem for the density of periodic orbits with an explicit formula for the density. Tutte le persone interessate sono invitate a partecipare. Saluti Alessandra ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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2 year research contract on Stochastics, MFGs, Optimisation, ML
by Luca Di Persio 12 Apr '25

12 Apr '25

Dear colleagues, We would like to draw your attention to Call CdR03/25 for a two-year postdoctoral research contract related to the project titled: * Mean-Field Games, Transport, and Optimization in Self-Organized Systems and Machine Learning * The research project will concern: the integration of mean-field game theory, calculus of variations and collective dynamics of interacting agents, even in the presence of random perturbations. The development, through optimal transport tools and stochastic analysis, of numerical and machine learning models for the geometric analysis of high-dimensional data distributions and applications in neural networks and reinforcement learning is planned. The project is funded by the Italian Ministry for Universities and Research (MUR) under D.D. 47/2025, as part of the PNRR program: * Mission 4 "Education and Research," Component 2 "From Research to Business," Investment 1.2 (NextGenerationEU initiative) The position is labelled as MATH-03/A (Mathematical Analysis); however, the project is broad and interdisciplinary, encompassing topics such as: stochastic analysis, mathematical modelling, optimisation, complex systems, and machine learning. Therefore, researchers with expertise in probability, applied mathematics, numerical modelling, and AI, are strongly encouraged to apply. The full call text is available here: * https://docs.univr.it/documenti/Albo/allegatialbo/allegatialbo367777.pdf Decreto Rettorale BANDO DI SELEZIONE PER IL CONFERIMENTO DI CONTRATTI DI RICERCA IL RETTORE<https://docs.univr.it/documenti/Albo/allegatialbo/allegatialbo367777.pdf> Decreto Rettorale BANDO DI SELEZIONE PER IL CONFERIMENTO DI CONTRATTI DI RICERCA IL RETTORE Vista la Legge 30/12/2010 n. 240, ed in particolare l’art. 22 come modificato dal D.L. n. 36/2022, convertito con L. 79/2022; Visto il "Regolamento per il conferimento di Contratti di Ricerca, ai sensi dell’art. 22 della Legge 30/12/2010, n. 240”, emanato con Decreto Rettorale Rep. n. 3352-2025 ... docs.univr.it IMPORTANT: The application deadline is April 30, 2025 (1 pm). Please share this opportunity with potential candidates. If you have any questions, please don't hesitate to contact me. Best, LuCa __ Luca Di Persio - PhD College of Mathematics Dept. of Computer Science University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Official UniVr spinoff: www.hpa.ai<http://www.hpa.ai/>

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Reminder: seminar Giorgia CALLEGARO
by Antonello Pesce 11 Apr '25

11 Apr '25

Dear all, We would like to remind you that on April 16th, at the Department of Mathematics of the University of Bologna and on Teams (LINK <https://teams.microsoft.com/l/meetup-join/19:meeting_ZDIwNjRlNjMtMGYzMi00NT…>), the following seminar will take place: 11:00-12:00: Giorgia CALLEGARO “CYBER-SECURITY INVESTMENT STRATEGIES IN A STOCHASTIC GORDON-LOEB MODEL WITH ATTACKS CLUSTERING” as part of the cycle Stochastics and Applications. The abstract is available at https://seminari.dm.unibo.it/mat/seminars/2025/04/16/giorgia-callegaro <https://seminari.dm.unibo.it/mat/seminars/2025/04/16/giorgia-callegaro> For any question, please contact the organizers: Elena Bandini (elena.bandini7(a)unibo.it <mailto:elena.bandini7@unibo.it>), Antonello Pesce (antonello.pesce2(a)unibo.it <mailto:antonello.pesce2@unibo.it>)

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