- Random - Mailing list — Dipartimento di Matematica, UniPI

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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Seminar by prof René Aid, May 18 -- link
by Sara 15 May '23

15 May '23

Dear all, Professor Aid from Paris Dauphine will give a seminar next Thursday at 12 in 304 AB, Viale Romania, Roma. Hereafter are the link and login details: Link aula 304 A: https://luiss.webex.com/luiss-en/j.php?MTID=mb3eb24f6a5355082687a936c3d08c7… User:w_guest@luiss.it Password: iqQ9xCmJF3Q Best, Sara ---------------------------------------------------------------------------------------------- *Sara Biagini* Department of Economics and Finance *LUISS University* Address: Viale Romania, 32 00197 Roma *Web* (institutional): https://economiaefinanza.luiss.it/docenti/cv/352478 *Web* (personal): https://sites.google.com/site/sarabiagini/

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Seminario di Statistica
by Rita Giuliano 14 May '23

14 May '23

Buongiorno. Annuncio il seguente seminario Prof. Milto Hadjikyriakou (UCLan Cyprus) 16 Maggio 2023 11:00 - 12:00 Aula Seminari Dipartimento di Matematica, Pisa Probability and Stochastic Analysis and Statistics <https://www.dm.unipi.it/categoria-evento/probability-stochastic-analysis-st…> Titolo: Some new ordering results for parallel and series systems with dependent heterogeneous exponentiated Weibull components – Abstract: In this work, ordering results are presented for parallel and series systems arising from dependent heterogeneous exponentiated Weibull components that share a common or different Archimedean copula(s). Particularly, sufficient conditions are provided under which the sample extremes are stochastically compared with respect to the usual stochastic order, the dispersive and the star-shaped order. Tutti gli interessati sono invitati Rita Giuliano

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SPASS Seminar: Silvia Morlacchi
by Francesco Grotto 13 May '23

13 May '23

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *Effect of Transport Noise on Kelvin–Helmholtz Instability* Silvia Morlacchi (Scuola Normale Superiore) The seminar will take place on TUE, 16.5.2023 at 14:00 CET in Sala Seminari, Dipartimento di Matematica, Pisa and streamed online at the link below. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Abstract: * *We numerically investigate the effect of transport noise on the Kelvin- Helmholtz instability at the interface of two 2D fluids in a shear flow, to test if the transport noise acts as a stabilizing factor.We exploit the point vortex method as a numerical discretization of the fluid equation of motion. We compare the results of the simulations in three different cases: inviscid and viscous fluid without transport noise, and inviscid fluid perturbed by transport noise. We find that when the transport noise is modeled by a large number of low-intensity point vortices, a delay in the temporal onset of the instability is present in the non viscous case, which resembles what happens in the viscous case.Based on joint work with Franco Flandoli and Andrea Papini.*

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Seminar: Daniele Calandriello at Tor Vergata
by Michele Salvi 12 May '23

12 May '23

Dear all, On Wednesday, May 17th, at 12h00 in Aula 2001 (change of usual time and 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 Daniele Calandriello (Google Deep Mind, Paris) with the seminar “Efficient exploration in stochastic environments" Abstract: Machine learning has seen an explosive growth recently, driven mostly by breakthroughs in classification and generative models. However ML applications in decision making settings are much more limited, where data collection is much higher and ML models must be sufficiently robust and accurate to deal with unforeseen consequences and avoid worst case scenarios. In this talk we will introduce some classical results for online decision making in stochastic linear spaces, with applications to active learning, bandit/bayesian optimization and deep learning. Starting from a rigorous analysis of the noise propagation we can formulate provably robust (i.e. no-regret) algorithms, and then create variants that can scale to modern ML data regimes without sacrificing safety. And if time suffice, we will highlight how these approaches inspired a new wave of exploration techniques to enable reinforcement learning agents to solve extremely long horizon tasks. We encourage in-person partecipation. Should you be unable to come, there will be a Teams link on our webpage published before the start of the talk. The seminar is part of the Excellence Project MatMod@TOV. Next appointment will be 24.05.2023 - Rongfeng Sun (NUS, Singapore), see the details on next events at https://www.mat.uniroma2.it/~rds/events.php.

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