- SIPTA News - lists.sipta.org

Next SIPTA virtual seminar: 30th April (3pm Paris time), Christoph Jansen on decision making applied to ML and stat
by sdesterc 18 Apr '24

18 Apr '24

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 30th of April (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85460316690 For this new seminar, we are very happy to have Christoph Jansen as our speaker. Christoph Jansen is currently a postdoctoral researcher and habilitation candidate at the Department of Statistics of LMU Munich, where he works on decision making in complex and weakly informed systems, with applications to machine learning and statistics. On the 30th of April, at 15:00 paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Decision making under weakly structured information with applications to robust statistics and machine learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 30th of April, and join us for the occasion. And for those who missed the previous seminars and want to catch up, or simply want to see them again and again, they are online at https://www.youtube.com/playlist?list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51 See you at the seminar! Sébastien, Enrique and Jasper

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro 17 Apr '24

17 Apr '24

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: April 29, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master's degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is June 2024 (or as can be arranged by mutual agreement). For further information, please contact Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by April 29th, 2024.

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Two new posts on the SIPTA blog
by Alexander Erreygers 12 Apr '24

12 Apr '24

Dear IP enthusiasts and sympathizers, Still looking for some weekend reading? The SIPTA blog<https://sipta.org/blog> has got you covered with not one but two new — or at least recently new — posts. You can learn more about Arianna Casanova’s doctoral research on rationality and desirability<https://sipta.org/blog/thesis-arianna/>, or eavesdrop on a conversation between Michele Caprio and Eyke Hüllermeier<https://sipta.org/blog/interview-eyke/> on Eyke's career, the challenges of using imprecise probabilities in the field of machine learning, and much more. Expect more blog posts like this in the near future! Kind regards, Alexander Erreygers SIPTA's Executive Editor PS: In the SIPTA Seminar on 30 April 2024, Christoph Jansen will be speaking about decision making under weakly-structured information; read the abstract of his talk here<http://localhost:1313/events/sipta-seminars/>.

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Andrea Campagner 10 Apr '24

10 Apr '24

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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Call for New Elsevier Textbooks - Probability and Statistics 1e
by Cohen, Stephanie (ELS-HBE) 04 Apr '24

04 Apr '24

Dear Executive Editor at SIPTA, I hope this email finds you well this April. My name is Stephanie Cohen, and I'm the Acquisitions Editor for Physical Sciences at Elsevier's STEM Education Textbook program, based in New York, NY. I was hoping to send out a call to your list-serv for individuals who would be interested in authoring a new textbook. Recently, I've been researching and gathering faculty feedback on a range of related courses in Statistics & Probability, so that I can better understand student and professor needs at the undergraduate and graduate levels, as well as current resources. We have identified Probability & Statistics as an area where a new, carefully considered textbook may be empowering both for students and faculty, both here in the U.S. and globally. Currently a smattering of different textbooks appear to be in use. Currently, I am seeking potential author(s) for a title in this vein, as well as further feedback or suggestions, and would be very open to any thoughts you may have, or your own in involvement in authoring a textbook. There is certainly room for adjustments or textbook topics other than the proposed one above for a new textbook-happy to discuss! Thank you. I would be glad to share more information about our book development processes as well, or have a call to answer any questions anyone might have. All my best, Stephanie Cohen Stephanie Cohen Acquisitions Editor, Physical Science Textbooks ELSEVIER | Global Content Partners St.cohen(a)elsevier.com<mailto:St.cohen@elsevier.com>

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SIPTA School 2024: (Re)mind the dates!
by Floris Persiau 02 Apr '24

02 Apr '24

To all interested researchers, young(er) and old(er), fast(er) and slow(er), Since the early bird deadline of the SIPTA School 2024 is approaching, we like to remind you to bear the following in mind: * If you want to make use of the early bird fee, you should register<https://school24.sipta.org/registration/> before 15 April 2024. The same deadline applies if you want to make use of our option to rent a private room for the duration of the summer school. * We have 5 grants available for (partially) covering your accommodation and transport costs. If you want to apply for one of these grants, you should do so by 10 April 2024. We remind you that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website<https://school24.sipta.org/>. Date and location The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. Registration For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to rent a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024. Grants We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration<https://school24.sipta.org/registration/> section of the school’s website. We look forward to welcoming and meeting you in Ghent! Please (continue) spread(ing) the word! With kind regards, Floris Persiau and Alexander Erreygers

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Re: IPMU 2024 call for short papers / extended abstract (extended deadline)
by Kreinovich, Vladik 01 Apr '24

01 Apr '24

FYI, papers using imprecise probabilities are always welcome at this series of conferences From: Christophe Marsala Sent: Monday, April 1, 2024 1:23 PM Dear All, Attached you can find the call for short papers / Extended abstract for the next IPMU 2024, the deadline to submit such papers has been extended. Best regards, Christophe Marsala ----------------------------------------------- 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024, Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. Keynote Spearkers * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) Topics and Scope of the Conference Theory, Methods and Tools: Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. Short papers / Extended Abstracts IPMU will also accept short paper / extended abstracts of up to 4 pages. Short papers’ acceptance will be based on a 1-page abstract that will be checked for appropriateness and relevance. · The 1-page abstract must be submitted through EasyChair system, at the same link of regular papers<https://easychair.org/my/conference?conf=ipmu2024>. Do not enclose any attachment, edit the abstract directly in the online window of the EasyChair system. Submissions without an attached paper will be considered as short papers / extended abstracts. · The abstracts can be submitted to one of the proposed special sessions or the general track of IPMU2024. · Short papers / extended abstracts will be included in the regular conference program and Book of Abstracts, and will be presented orally. · Accepted short papers will not be published by Springer. A separate volume, with its own DOI, containing the accepted works, will be published in open access. Authors may opt to not include their work in this volume. Details regarding the submission of the 4-page document will be provided after the paper acceptance. IMPORTANT DATES - Paper submission: March 8th, 2024 - Notification of acceptance (regular paper): April 16th, 2024 - Short paper / Extended abstract submission : April 23th, 2024 - Camera-ready paper submission: May 7th, 2024 - Early/author registration: May 7th, 2024 - Conference: July 22nd-26th, 2024 General Chair João Paulo Carvalho (Portugal) Program Chairs Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) Publication Chair Fernando Batista (Portugal) Special Session Chair: Anna Wilbik (Netherlands) Publicity Chair Christophe Marsala (France) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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ISIPTA seminar: errata (Babara Vantaggi, 26th March)
by sdesterc 20 Mar '24

20 Mar '24

Dear Colleagues, You will probably have corrected this yourself, but due to an autocorrect function and my own impatience to announce the seminar, there was a mistake in the title date and in the name of our esteemed speaker. This is, and will be a talk by Barbara Vantaggi, on the 26th of March, at 3pm Paris time. Best regards, and sorry for any incovenience. Sébastien

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Next SIPTA seminar: Barbara Vantage (IP and finance), 16th March at 3pm Paris time.
by sdesterc 20 Mar '24

20 Mar '24

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 26th of March (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86044393366 For this new seminar, we are very happy to have Barbara Vantaggi as our speaker. Barbara Vantage is a Full Professor of Mathematical Methods of Economics, Finance and Actuarial Sciences at the University La Sapienza, Roma. She is well-known for her many contributions to the foundations of (imprecise) probabilistic reasoning under coherence, decision making under uncertainty and their development to financial applications. On the 26th of March at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "A dynamic Choquet pricing rule with bid-ask spreads under Dempster–Shafer uncertainty”, showing how imprecise probabilistic approaches can be useful in financial mathematics. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page, where you will also find announcements of our next seminars. So please mark your calendars on the 26th of March, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=LG4trFXC53g See you at the seminar! Sébastien, Enrique and Jasper

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BELIE 2024 - Call for Papers
by Bi, Yaxin 18 Mar '24

18 Mar '24

****** Call for Papers ****** https://bfasociety.org/Belief2024/ The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk<mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu<mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. 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