- Random - Mailing list — Dipartimento di Matematica, UniPI

Seminar by G. Giorgio at UniMiB [23 May]
by Maurizia Rossi 18 May '23

18 May '23

Dear colleagues, I am glad to announce the following Probability Seminar Speaker: *Giacomo Giorgio* (Università di Roma "Tor Vergata") *Title:* Bivariate fractional Ornstein-Uhlenbeck process: basic properties and estimators. *Abstract:* Please, see the attached file. *Date and time:* Tuesday *23 May,* *15:30*-16:30, *Aula 3014* Building *U5*/RATIO, Univ. *Milano-Bicocca*. Best regards, Maurizia Rossi -- Maurizia Rossi Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca https://mauriziarossi.wordpress.com

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Seminar: Rongfeng Sun at Tor Vergata
by Michele Salvi 18 May '23

18 May '23

Dear all, On Wednesday, May 24th, at 14h00 in Aula 2001 (change of usual place! Aula 2001 is on the top floor of the Math Department, close to the copy shop) at Roma Tor Vergata, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Rongfeng Sun (NUS Singapore) with the seminar “A new correlation inequality for Ising models with external fields" Abstract: We study ferromagnetic Ising models on finite graphs with an inhomogeneous external field. We show that the influence of boundary conditions on any given spin is maximised when the external field is identically 0. One corollary is that spin-spin correlation is maximised when the external field vanishes. In particular, the random field Ising model on Z^d, d ≥ 3, exhibits exponential decay of correlations in the entire high temperature regime of the pure Ising model. Another corollary is that the pure Ising model on Z^d, d ≥ 3, satisfies the conjectured strong spatial mixing property in the entire high temperature regime. Based on joint work with Jian Ding and Jian Song. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… . The seminar is part of the Excellence Project MatMod@TOV.

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13th International Conference on Extreme Value Analysis
by Simone Padoan 18 May '23

18 May '23

A tutti gli interessati The 13th International Conference on Extreme Value Analysis that will be hosted by Bocconi University from June 26 to June 30, 2023 in Milan. Please, see https://dec.unibocconi.eu/research/extreme-value-analysis-eva-2023 The EVA conference aim is to bring together researchers in Extreme Value Theory, Methods and its Applications. The conference will be concerned with a broad spectrum of topics ranging from * Heavy-tailed phenomena; * Time series; Large deviations; * Multivariate modelling; Rare events; * Spatio-temporal processes; to * Machine Learning; * Graphical Modelling; * Big data; * Networks; and will include many important applications such as * Energy Systems; * Climate; * Public Health; * Epidemiology; * Life Sciences; * Insurance and Finance. The registration is still open, please visit the subsection "Registration" of the conference website, https://dec.unibocconi.eu/research/extreme-value-analysis-eva-2023 Yours sincerely,  Simone Padoan - chair of the organising committee  Clément Dombry - chair of the scientific committee [La tua firma può scrivere un futuro. Aiuta gli studenti meritevoli a costruire il proprio. Dai il tuo 5x1000 alla Bocconi C.F. 80024610158] <https://giving.unibocconi.it/5x1000> Please note that the above message is addressed only to individuals filing Italian income tax returns. 5x1000 is a percentage of Italian personal income tax that taxpayers can allocate to Universities, scientific research and non profit organizations.

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Seminario di Davide Gabrielli alla Sapienza
by Faggionato, Alessandra 17 May '23

17 May '23

Buongiorno, Martedì 23 Maggio alle ore 14:00 in Sala di Consiglio (Dipartimento di Matematica, Università La Sapienza) avrà luogo il seguente seminario: Speaker: Davide Gabrielli (Università dell'Aquila) Title: HIDDEN TEMPERATURE IN THE KIPNIS-MARCHIORO-PRESUTTI MODEL Abstract: Stationary non equilibrium states (SNS) have a rich and complex structure. The large deviations rate functionals for the empirical measure of a few one dimensional SNS of stochastic interacting systems have been computed, among which the boundary driven exclusion process and Kipnis-Marchioro-Presutti (KMP) model. The corresponding rate functionals are not local due to the presence of long range correlations. We show for the KMP model that this can be explained by introducing new variables that can be interpreted naturally as the temperatures of the oscillators that are exchanging the energies. When two oscillators exchange energy they thermalize at the same time. We deduce that the invariant measure of the boundary driven KMP model is a mixture of inhomogeneous products of exponential distributions, the law of the mixture is the invariant measure of the auxiliary temperature process. This is a joint work with Anna De Masi and Pablo Ferrari. We show moreover that a similar representation of the invariant measure holds also for the boundary driven harmonic model; in this case the hidden variables are distributed according to the order statistics of uniform random variables. This is a joint work with G. Carinci, C. Franceschini, C. Giardinà and D. Tsagkarogiannis. Grazie dell'attenzione 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 5, Phone (0039) 06 49913252 *************************************************

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Second Call: Workshop: "Junior Researchers in Stochastic Optimal Control" in Berlin, Aug 31/Sep 1, 2023
by Körber, Laura Claudia 17 May '23

17 May '23

Dear colleagues, Let us draw your attention to the workshop for --- JUNIOR RESEARCHERS IN STOCHASTIC OPTIMAL CONTROL (JRSOC) --- jointly organized and supported by the IRTG 2544 “Stochastic analysis in interaction” (Berlin), the TU Berlin, the WIAS Berlin, and the EPSRC CDT “Mathematics of Random Systems” (University of Oxford). The workshop will take place in presence in Berlin from Thursday, August 31, to Friday, September 1, 2023. The workshop is intended to offer junior researchers in Stochastic Optimal Control a platform to extend their knowledge in the field, to present and discuss their own work, and to possibly initiate future collaborations. With five keynote lectures given by distinguished researchers and a number of contributed talks, the workshop aims at covering the latest developments and classical topics in Stochastic Optimal Control including Machine Learning, Mathematical Finance, Mean Field Models, Infinite Dimensional Problems, Stochastic Games, and many more. The keynote lectures will be given by: -- Roxana Dumitrescu (King’s College London), -- Johannes Muhle-Karbe (Imperial College London), -- David Siska (University of Edinburgh), -- Peter Tankov (ENSAE Paris), -- Gianmario Tessitore (University Milano-Bicocca). We warmly invite junior researchers to apply for contributed talks and/or financial support. The deadline for both is May 31, 2023. Registration to the workshop is free but mandatory, and possible until June 30, 2023. More details can be found on the conference website under: --- https://www.wias-berlin.de/workshops/JRSOC23/ --- We are looking forward to welcoming you in Berlin. In case of further questions, please do not hesitate to contact us per e-mail at jrsoc23(a)wias-berlin.de. Best regards, The Organizing Committee Peter Bank, Sebastian Ertel, Sascha Gaudlitz, Yifan Jiang, Hannes Kern, Laura Körber, Alexander Merkel, Shyam Popat, Emanuel Rapsch, Thomas Wagenhofer

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Padova seminars in Probability and Finance- Alice Callegaro (TU Munich and Johannes-Gutenberg Universität Mainz)
by alessandra bianchi 16 May '23

16 May '23

Dear Colleagues, We would like to invite you to the following seminar that will take place on May 26 at 14.30 at the Math Department of Padova. The seminar will be held in person and online via the Zoom platform. The organizers, Alessandra Bianchi, Giorgia Callegaro, Marco Formentin _____________________________________________________ Seminars in Probability and Finance *Speaker:* Alice Callegaro (TU Munich and Johannes-Gutenberg Universität Mainz) *Title:* Survival and complete convergence for a branching annihilating random walk *Date and time*: Friday, May 26, 2023 at 14.30 *Place*: room 2BC30 at the Department of Mathematics, University of Padova *Zoom link:* https://unipd.zoom.us/j/88429828028 (Meeting ID 884 2982 8028 ) available also on the webpage https://www.math.unipd.it/~bianchi/seminari/ *Abstract:* We study a branching annihilating random walk (BARW) in which particles move on the discrete lattice in discrete generations. Each particle produces a poissonian number of offspring which independently move to a uniformly chosen site within a fixed distance from their parent's position. Whenever a site is occupied by at least two particles, all the particles at that site are annihilated. This can be thought of as a very strong form of local competition and implies that the system is not monotone. For certain ranges of the parameters of the model we show that the system dies out almost surely or, on the other hand, survives with positive probability. In an even more restricted parameter range we strengthen the survival results to complete convergence with a non-trivial invariant measure. A central tool in the proof is comparison with oriented percolation on a coarse-grained level, using carefully tuned density profiles which expand in time and are reminiscent of discrete travelling wave solutions. Based on a joint work with Matthias Birkner (JGU Mainz), Jiří Černý (University of Basel), Nina Gantert (TU Munich) and Pascal Oswald (University of Basel/JGU Mainz). -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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5th International Workshop on eXplainable Knowledge Discovery in Data Mining -- Call for Papers
by REGOLI DANIELE 16 May '23

16 May '23

XKDD 2023 - Call for Papers ------------------------------------------------------------------------- 5th ECML-PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- Torino, 18th September 2023 http://xkdd2023.isti.cnr.it/ (co-located with the ECML-PKDD 2023 conference https://2023.ecmlpkdd.org/) CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a wide range of application domains, like credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the support of these systems has an immense potential to improve the decision in different fields, their use may present ethical and legal risks, such as codifying biases, jeopardizing transparency and privacy, and reducing accountability. Unfortunately, these risks arise in different applications. They are made even more serious and subtly by the opacity of recent decision support systems, which are often complex and their internal logic is usually inaccessible to humans. Nowadays, most Artificial Intelligence (AI) systems are based on Machine Learning algorithms. The relevance and need for ethics in AI are supported and highlighted by various initiatives arising from the researches to provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXaplaining Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. Also, this year the workshop will seek submissions addressing uncovered important issues in specific fields related to eXplainable AI (XAI), such as XAI for a more Social and Responsible AI, XAI as a tool to align AI with human values, XAI for Outlier and Anomaly Detection, quantitative and qualitative evaluation of XAI approaches, and XAI case studies. The workshop will seek top-quality submissions related to ethical, fair, explainable and transparent data mining and machine learning approaches. Papers should present research results in any of the topics of interest for the workshop, as well as tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - XAI for Social AI - XAI for Responsible AI - XAI to Align AI with Human Values - XAI for Outlier and Anomaly Detection - Quantitative and Qualitative Evaluation of XAI approaches - Transparent-by Design Models - XAI Case studies - XAI for Privacy-Preserving Systems - XAI for Federated Learning - XAI for Time Series based Approaches - XAI for Graph based Approaches - XAI for Visualization - XAI in Human-Machine Interaction - XAI in Human-in-the-Loop Interactions - Counterfactual Explanations - Human-Model Interfaces for XAI approaches - Explainable Artificial Intelligence (XAI) - Interpretable Machine Learning - Transparent Data Mining - XAI for Fairness Checking - Explanation, Accountability and Liability from an Ethical and Legal Perspective Also, the XKDD 2023 edition is co-organized with DynXAI - Explainable Artificial Intelligence: From Static to Dynamic. SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to is 14 pages references excluded in LNCS format, i.e., the ECML PKDD 2023 submission format. All papers should be written in English. The following kinds of submissions will be considered: research papers, tool papers, case study papers and position papers. Detailed information on the submission procedure is available at the workshop web page: http://xkdd2023.isti.cnr.it/ If pandemic conditions permit, the workshop will be held in an on-site format. Recordings of the lectures will be made available to all registered participants. Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). The condition for inclusion in the post-proceedings is that at least one of the co-authors registered to ECML-PKDD and presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is: https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/Track/16/Submissio… The XKDD 2023 workshop is co-organized and will be held jointly the DynXAI 2023 workshop, please visit https://sites.google.com/view/dynxai-ecmlpkdd-2023/ for the detailed CfP. IMPORTANT DATES Paper Submission deadline: June 20, 2023 Accept/Reject Notification: July 13, 2023 Camera-ready deadline: July 31, 2023 Workshop: September 18, 2023 PROGRAM CO-CHAIRS * Przemyslaw Biecek, Warsaw University of Technology, Poland * Tania Cerquitelli, Politecnico di Torino, Torino, Italy * Riccardo Guidotti, University of Pisa, Italy * Francesca Naretto, Scuola Normale Superiore, Pisa, Italy * Daniele Regoli, Instesa Sanpaolo, Italy PROGRAM COMMITEE * Miguel Couceiro, Università de Lorraine, France * Alessandro Castelnovo, Intesa Sanpaolo, Italy * Riccardo Crupi, Intesa Sanpaolo, Italy * Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain * FranÃ§oise Fessant, Orange Labs, France * Salvatore Greco, Politecnico di Torino, Italy * Andreas Holzinger, Medical University of Graz, Austria * Paulo Lisboa, Liverpool John Moores University, UK * Marcin Luckner, Warsaw University of Technology, Poland * Amedeo Napoli, CNRS, France * John Mollas, Aristotle University of Thessaloniki, Greece * Enea Parimbelli, University of Pavia, Italy * Francesca Pratesi, ISTI-CNR, Italy * Roberto Prevete, University of Napoli, Italy * Antonio Rago, Imperial College London, UK * Eliana Pastor, Politecnico di Torino, Italy * Jan Ramon, Inria, France * Xavier Renard, AXA, France * Mahtab Sarvmaili, Dalhousie University, Canada * Udo Schlegel, Konstanz University, Germany * Mattia Setzu, University of Pisa, Italy * Dominik Slezak, University of Warsaw, Poland * Myra Spiliopoulou, University Magdeburg, Germany * Francesco Spinnato, Scuola Normale Superiore, Italy * Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece * Genoveva Vargas-Solar, CNRS, LIRIS, France * Albrecht Zimmermann, Università de Caen, France INVITED SPEAKERS * Andreas Theissler, Aalen University of Applied Sciences, Aalen, Germany * Dino Pedreschi, University of Pisa, Italy (tentative) STEERING COMMITTEE * Riccardo Guidotti, University of Pisa * Anna Monreale, University of Pisa * Salvatore Rinzivillo, ISTI-CNR, Pisa CONTACT All inquiries should be sent to francesca.naretto(a)di.unipi.it, riccardo.guidotti(a)unipi.it Prima di stampare, pensa all'ambiente ** Think about the environment before printing ________________________________ Il presente messaggio, inclusi gli eventuali allegati, ha natura aziendale e potrebbe contenere informazioni confidenziali e/o riservate. 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Workshop in Prato on Random games and machine learning
by Giacomo Aletti 16 May '23

16 May '23

Ricevo e inoltro, scusandomi per ricezioni multiple. Giacomo Aletti ================================= We are delighted to announce the workshop 'Random Games and Machine Learning' which will take place in Prato 17-20 June 2023 (Monash Campus Prato), Italy. The list of participants includes Itai Arieli (Technion), Andrea Collevecchio (Monash University), Fabio Coppini (Luiss), Tim Garoni (Monash University), Robert Griffiths (Monash University), Kais Hamza (Monash University), Fima Klebaner (Monash University), Gabor Lugosi (Pompeu Fabra), Hlafo Alfie Mimun <https://sites.google.com/view/hlafoalfie-mimun/home-page?authuser=0> (LUISS), Arkadi Predtetchinski (Maastricht), Matteo Quattropani (Sapienza Università di Roma), Marco Scarsini (LUISS), Pierre Tarrès (NYU Shanghai), Adrian Vetta (Montreal) , Fima Klebaner (Monash) Vladka Seckarova (Monash), Fabio Coppini (Luiss). The website (under construction) is https://sites.google.com/view/randomgames2023/ The program will be published soon. If you would like to participate, please contact us asap at andrea.collevecchio(a)monash.edu Thanks, Andrea (on behalf of the organizing committee) -- ------------------------------- Giacomo Aletti, Full Professor (Probability Theory and Mathematical Statistics) Department of Environmental Science and Policy (ESP) ADAMSS Centre (ex MIRIAM) Advanced Applied Mathematical and Statistical Sciences Università degli Studi di Milano Via Saldini, 50 20133 Milano, Italy Tel: +39-02-503.16158 Fax:+39-02-503.16090

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12 PhD position in the RTG "Coping with Uncertainty in Dynamic Economies" at Bielefeld University
by Ferrari, Giorgio 15 May '23

15 May '23

Dear Colleagues, the newly established research training group (RTG) "Coping with Uncertainty in Dynamic Economies" at Bielefeld University has been recently sponsored by the German Research Foundation (DFG) for up to 9 years. In a first step, we will fund *12 doctoral students for four years of study*. The positions are fully funded, at competitive levels (approx 40.000 Euro gross per year). The RTG is an initiative of ten principal investigators from the Center for Mathematical Economics and the Data Science Research Group at Bielefeld University. Next to the well established core program of our doctoral school BiGSEM (www.bigsem.de <http://www.bigsem.de>), students will thus work in an excellent research environment on topics involving uncertainty in its various aspects and their consequences for dynamic economies. Also, the research training group holds strong ties with top international researchers who will give specialized block courses and summer schools. _More information about the application procedure and deadlines can be found:_ * at the inomics website (https://inomics.com/program/12-phd-positions-in-the-new-research-training-g…) * at Bielefeld’s official announcement webpage (https://uni-bielefeld.hr4you.org/job/view/2457/research-positions-12-positi…) Best wishes, Giorgio Ferrari

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International fintech research conference, Naples, November 2-3
by Daniele Marazzina 15 May '23

15 May '23

Ho il piacere di comunicare che l’Università deli Studi di Napoli Parthenope ospiterà la seconda edizione della International Fintech Research Conference nei giorni 2 e 3 novembre 2023. In allegato la locandina dell’evento.

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