- SIPTA News - lists.sipta.org

New SIPTA blog post

by Henna Bains

Dear SIPTA community, After three years of research and extensive brainstorming, Tathagata Basu defended his thesis entitled “High dimensional statistical modelling under limited information” on the 15th December 2020. Would you like to find out more about Tatha’s research? Head over to the latest SIPTA blog post <https://sipta.org/blog/thesis-tathagata/>, where Tatha gives an overview of his thesis. Are you interested in writing a post for the SIPTA blog? Get in touch with Henna and Diego at blog(a)sipta.org. Kind regards, Henna and Diego (SIPTA blog editors)

Sept. 22, 2022

ERRATUM Third SIPTA seminar: 29th September, NOT 27th september

by Sébastien Destercke

Dear SIPTiAns and IP enthusiasts, In my rush to announce the seminar and due to my impatience to hear it, I made a small mistake: it is on the 29th on Thursday, not the 27th. Best regards Sébastien

Sept. 22, 2022

Third SIPTA seminar: 27th September, at 15:00 CEST, Peter Grunwald talking about "E is the new P"

by Sébastien Destercke

Dear SIPTiAns and IP enthusiasts, We are delighted to announce our third 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. For this third seminar, we are very happy to have Peter Grunwald as our speaker. Peter Grunwald currently heads the machine learning group <http://safestatistics.com/group/> at CWI <http://www.cwi.nl> in Amsterdam, and has made many core contribution to statistics and machine learning over the years, including a book on Minimum Description Length Principle, as well as contributions to imprecise probabilistic reasoning as well as safe statistical inferences. On the 27th September, at 15:00 CEST (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "E is the new P”. 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 will appear on that same page shortly before the event. So please mark your calendars on the 27th September, at 15:00 CEST, 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 now online at https://www.youtube.com/channel/UCPER8Dfil66KZCYlsK86XCQ/featured. See you at the seminar! Sébastien, Enrique and Jasper

Sept. 21, 2022

DA2PL 2023: final call for papers (deadline: 15 september)

by Sébastien Destercke

===========FINAL CALL FOR PAPERS============ DA2PL 2022: From Multiple Criteria Decision Aid to Preference Learning Université de Technologie de Compiègne, France November 17-18, 2022 https://da2pl.pre.utc.fr/ ======== AIM ======== DA2PL 2022 (From Multiple Criteria Decision Aid to Preference Learning) aims to bring together researchers from decision analysis and machine learning. It provides a forum for discussing recent advances and identifying new research challenges in the intersection of both fields, thereby supporting a cross-fertilisation of these disciplines. Following the five previous editions of this workshop, which took place in Mons in 2012, Paris in 2014, Paderborn in 2016, Poznan in 2018, and Trento (virtually) in 2020, DA2PL 2022 will be held at the Université de Technologie de Compiègne (nearby Paris), France, the 17 and 18 november. =================== Keynote SPEAKERS =================== We are delighted to announce that the following persons have accepted to give a keynote speech at the conference: * Denis Bouyssou, Université Paris Dauphine, LAMSADE * Nicolas Usunier, Meta AI research * Thomas Augustin, Ludwig Maximilian University of Munich =================== AMAI special issue =================== We are also happy to announce that, in partnership with the journal "Annals of Mathematics and Artificial Intelligence", we will propose to authors of selected papers to submit an extended version of their submission to an AMAI special issue focusing on recent advances of preference handling. ================= Important dates ================= May 1st: submissions open September 15th: paper submission deadline (extended and final) October 10th: author notification November 3rd: Camera-ready version of papers November 17-18: Conference ======================== DA2PL 2022 vs COVID-19 ======================== We expect DA2PL to be mainly a physical event. We will provide a virtual option for participants wishing to be there remotely, but will request at least one full registration per submitted paper. ======== TOPICS ======== DA2PL 2022 solicits contributions to the usage of theoretically supported preference models and formalisms in preference learning as well as communications devoted to innovative preference learning methods in decision analysis and multicriteria decision aiding. Specific topics of interest include, but are not limited to: - quantitative and qualitative approaches to modelling preferences, user feedback and training data; - preference representation in terms of graphical models, logicalformalisms, and soft constraints; - dealing with incomplete and uncertain preferences; - preference aggregation and disaggregation; - learning utility functions using regression-based approaches; - preference elicitation and active learning; - preference learning in combinatorial domains; - learning relational preference models and related regression problems; - classification problems, such as ordinal and hierarchical classification; - inducing monotonic decision models for preference representation; - comparison of different preference learning paradigms (e.g., monolithic vs. decomposition); - ranking problems, such as object ranking, instance ranking and label ranking; - complementarity of preference models and hybrid methods; - explanation of recommendations; - applications of preference learning, such as web search, information retrieval, electronic commerce, games, personalization, recommender systems, … ============= Submissions ============= Submissions must be written in English and formatted according to the electronic template that is available at https://da2pl.pre.utc.fr/wp-content/uploads/sites/70/2022/03/DA2PL22_templa… The page limit is 8 for full papers, although extended abstracts (maximum two pages) are welcome, too. As usual for DA2PL, submissions are NOT anonymous. According to the template, names of authors should be stated in the manuscript. All submissions will be reviewed by at least two referees. Submissions must be submitted through EasyChair at https://easychair.org/conferences/?conf=da2pl Following a successful experience from the latest editions, DA2PL will provide a special opportunity for doctoral students to explore and develop their research interests. A special session at the conference will be devoted to PhD students, for presenting and discussing their ongoing research work. Therefore, we specifically encourage young researchers to submit their work (as full paper or extended abstract, depending on the maturity of the PhD project); the submission site will provide the option to mark a submission as a student paper. =========================== Organization and contacts =========================== General chairs Khaled Belahcene, Université de Technologie de Compiègne (khaled.belahcene(a)hds.utc.fr) Sébastien Destercke, Université de Technologie de Compiègne (sebastien.destercke(a)utc.fr)

Sept. 9, 2022

Organized Session CMStatistics 2022

by Davide Petturiti

Dear all, Barbara Vantaggi and myself are organizing the session Decisions under partial knowledge at the CMStatistics 2022 conference. Below I report all the details. Should you be interested in submitting an abstract, please let us know by sending an email to davide.petturiti(a)unipg.it. Best regards, Davide Petturiti #################################################### Conference details: *15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)* King's College London, 17-19 December 2022 (hybrid in-person and virtual) http://www.cmstatistics.org/CMStatistics2022/index.php Organized Invited Session details: EO202: Decisions under partial knowledge Organizers: Davide Petturiti, Barbara Vantaggi Abstract submission deadline: 8 September 2022 Registration deadline: 16 September 2022 -- Davide Petturiti, Ph.D. Department of Economics University of Perugia Address: via Pascoli 20, 06123 Perugia, Italy Phone: +39-075-585-5218 Fax: +39-075-585-5950 Email: davide.petturiti(a)unipg.it <davide.petturiti(a)dmi.unipg.it> Website: https://sites.google.com/site/davidepetturiti

Sept. 3, 2022

Re: CFP MDAI 2023, Deadline 15 December 2022

by Kreinovich, Vladik

FYI, probabilistic methods are one of the highlighted topics, and papers related to imprecise probabilities are always welcome at this series of conferences -----Original Message----- From: Vicenc Torra Sent: Friday, September 2, 2022 9:24 AM Dear all, hope you are well. Sorry for multiple postings. MDAI 2023 (Umea, Sweden) will take place just before midsummer. White nights will be provided. Vicenç Torra Umea University, Sweden -------------------------------------------------------------------------------- CALL FOR PAPERS 20th Modeling Decisions for Artificial Intelligence MDAI 2023, Umea, Sweden June 19-22, 2023 http://www.mdai.cat/mdai2023 Proceedings: LNAI; CORE-B conference; Deadline: December 15th Decision processes in a broad sense, including model building and all kind of mathematical tools for data aggregation, information fusion, and decision making; tools to help decision in data science problems (including e.g., statistical and machine learning algorithms as well as data visualization tools); and algorithms for data privacy and transparency-aware methods so that data processing processes and decisions made from them are fair, transparent, explainable and avoid unnecessary disclosure of sensitive information. Tracks on (i) data science, (ii) machine learning, (iii) data privacy, (iv) aggregation funcions, (v) human decision making, and (vi) graphs and (social) networks. MDAI is rated as a CORE B conference by the Computing Research and Education Association of Australasia - CORE. *Important Dates* LNAI Submission deadline: December 15th, 2022 LNAI Acceptance notification: March 1st, 2023 Final version of LNAI accepted papers: March 17th, 2023 USB-only Submission deadline: April 30th, 2023 USB Acceptance notification: May 20th, 2023 Early registration: March 15th, 2023 Conference: 19-22 June, 2023 *Submission and Publication* Original technical contributions are sought. Contributions will be selected on the basis of their quality. Papers should not exceed 12 pages in total (using LNCS/LNAI style). Proceedings with accepted papers will be published in the LNAI/LNCS series (Springer-Verlag). We publish additional proceedings in a volume (with ISBN) with a later deadline. Program co-chairs: Vicenc Torra (Umea University, Sweden) Yasuo Narukawa (Tamagawa University, Japan) AB, PC, local organizing committee and additional information: http://www.mdai.cat/mdai2023

Sept. 2, 2022

congratulations to Michael Beer and possibility to join European Safety and Reliability Association

by Kreinovich, Vladik

Dear Colleagues, Our colleague Michael Beer from Germany - whose research is in uncertainty, including imprecise probabilities -- has just been elected Chair of the European Safety and Reliability Association ESRA https://esrahomepage.eu/ He will be the association chair for 2 years, with the possibility to be reelected for one more 2-year term. Congratulations to Michael! This organization sponsors annual conferences ESREL'XX. While this association is officially called European, it has been, in effect, a world-wide association, its conferences attract people from all over the world, and Michael - who has a lot of international contacts and collaborations - plans to actively continue enhancing the international status of his organization. The association accepts international institutions as members, the cost is only 115 Euros per year, and it brings discounts and other advantages -- see Michael's email below. Please contact Michael if your organization is interested in joining. I am sending him a copy of this message. From: Michael Beer [mailto:beer@irz.uni-hannover.de] Sent: Wednesday, August 31, 2022 12:02 AM my appointment is for the next 2y term and can be extended by another 2 years. I will use this position to interconnect communities in the field globally and to tie in more leading experts from the field worldwide. ESRA is accepting membership from international institutions. The membership is for the entire institution. The annual membership fee is only 115 Euros. In return, participants of the ESREL conferences from the member institution get a discount of usually 100 Euros on fees. That is, when 2+ participants from the institution attend, it already pays off. If 5 participants come, it counts down 500 Euros, which is about one free ticket. Furthermore, membership would involve you in the developments and give you a nice exposure in the community. Michael

Aug. 31, 2022

Fall 2022 topics course: Imprecise-Probabilistic Foundations of Statistics & Data Science

by Ryan Martin

Dear SIPTA community, This coming Fall 2022 semester (starting August 23rd), I'll be teaching an advanced special topics course for Statistics PhD students at North Carolina State University entitled "Imprecise-Probabilistic Foundations of Statistics & Data Science". It's a typical, in-person lecture course, but the lectures will be recorded and made publicly available so, in principle, anyone who is interested can -- and is welcome to -- follow along or even participate in a non-credit-earning capacity. The course website, with some information about what I plan to do, is here https://wordpress-courses2223.wolfware.ncsu.edu/st-790-001-fall-2022/ This is where the lecture videos and other relevant materials will be posted. Please feel free to contact me if you have questions. Sincerely, Ryan Martin Professor Department of Statistics North Carolina State University Email: rgmarti3(a)ncsu.edu Web: https://www4.stat.ncsu.edu/~rmartin

Aug. 11, 2022

DA2PL 2022 - 2nd call for papers

by Sébastien Destercke

*** please disseminate this information to possibly interested persons *** ===========C A L L F O R P A P E R S============ DA2PL 2022: From Multiple Criteria Decision Aid to Preference Learning Université de Technologie de Compiègne, France November 17-18, 2022 https://da2pl.pre.utc.fr/ ======== AIM ======== DA2PL 2022 (From Multiple Criteria Decision Aid to Preference Learning) aims to bring together researchers from decision analysis and machine learning. It provides a forum for discussing recent advances and identifying new research challenges in the intersection of both fields, thereby supporting a cross-fertilisation of these disciplines. Following the five previous editions of this workshop, which took place in Mons in 2012, Paris in 2014, Paderborn in 2016, Poznan in 2018, and Trento (virtually) in 2020, DA2PL 2022 will be held at the Université de Technologie de Compiègne, France, the 17 and 18 november. =================== Keynote SPEAKERS =================== We are delighted to announce that the following persons have accepted to give a keynote speech at the conference: * Denis Bouyssou, Université Paris Dauphine, LAMSADE * Nicolas Usunier, Facebook AI research * Thomas Augustin, Ludwig Maximilian University of Munich =================== AMAI special issue =================== We are also happy to announce that, in partnership with the journal "Annals of Mathematics and Artificial Intelligence", we will propose to authors of selected papers to submit an extended version of their submission to an AMAI special issue focusing on recent advances of preference handling. ================= Important dates ================= May 1st: submissions open September 15th: paper submission deadline (extended and final) October 10th: author notification November 3rd: Camera-ready version of papers November 17-18: Conference ======================== DA2PL 2022 vs COVID-19 ======================== We expect DA2PL to be mainly a physical event. We will provide a virtual option for participants wishing to be there remotely, but will request at least one full registration per submitted paper. ======== TOPICS ======== DA2PL 2022 solicits contributions to the usage of theoretically supported preference models and formalisms in preference learning as well as communications devoted to innovative preference learning methods in decision analysis and multicriteria decision aiding. Specific topics of interest include, but are not limited to: - quantitative and qualitative approaches to modelling preferences, user feedback and training data; - preference representation in terms of graphical models, logical formalisms, and soft constraints; - dealing with incomplete and uncertain preferences; - preference aggregation and disaggregation; - learning utility functions using regression-based approaches; - preference elicitation and active learning; - preference learning in combinatorial domains; - learning relational preference models and related regression problems; - classification problems, such as ordinal and hierarchical classification; - inducing monotonic decision models for preference representation; - comparison of different preference learning paradigms (e.g., monolithic vs. decomposition); - ranking problems, such as object ranking, instance ranking and label ranking; - complementarity of preference models and hybrid methods; - explanation of recommendations; - applications of preference learning, such as web search, information retrieval, electronic commerce, games, personalization, recommender systems, … ============= Submissions ============= Submissions must be written in English and formatted according to the electronic template that is available at https://da2pl.pre.utc.fr/wp-content/uploads/sites/70/2022/03/DA2PL22_templa… The page limit is 8 for full papers, although extended abstracts (maximum two pages) are welcome, too. As usual for DA2PL, submissions are NOT anonymous. According to the template, names of authors should be stated in the manuscript. All submissions will be reviewed by at least two referees. Submissions must be submitted through EasyChair at https://easychair.org/conferences/?conf=da2pl Following a successful experience from the latest editions, DA2PL will provide a special opportunity for doctoral students to explore and develop their research interests. A special session at the conference will be devoted to PhD students, for presenting and discussing their ongoing research work. Therefore, we specifically encourage young researchers to submit their work (as full paper or extended abstract, depending on the maturity of the PhD project); the submission site will provide the option to mark a submission as a student paper. =========================== Organization and contacts =========================== General chairs Khaled Belahcene, Université de Technologie de Compiègne (khaled.belahcene(a)hds.utc.fr) Sébastien Destercke, Université de Technologie de Compiègne (sebastien.destercke(a)utc.fr)

Aug. 4, 2022

Call for online participation: "Reasoning and uncertainty: probabilistic, logical, and psychological perspectives" (Aug. 9-10, 2022)

by Niki Pfeifer

The aim of this interdisciplinary workshop is to bring together philosophers, probability theorists, logicians, artificial intelligence researchers, and psychologists to discuss selected problems in the broad domains of reasoning and uncertainty, including inferences about conditionals, inconsistency, and coherence, how to argue and make decisions rationally, and how to represent and manage uncertainty and incomplete knowledge. We also aim to discuss philosophical foundations and methodological questions concerning reasoning research. For example, whether and how combining conceptual, formal (like (non-classical) logic, (coherence-based) probability logic, artificial intelligence models), and empirical research methods may cross-fertilise reasoning research on normative and descriptive dimensions. Workshop website: https://go.ur.de/reasunc2022 Speakers Andrea Capotorti (University of Perugia, Italy) Nicole Cruz (University of Innsbruck, Austria) Chris Fermüller (TU Wien, Austria) Sabine Frittella (INSA Centre Val de Loire, France) Angelo Gilio (Sapienza University of Rome, Italy) Anthony Hunter (University College London, UK) Gianluigi Oliveri (University of Palermo, Italy) David Over (Durham University, UK) Romina Schmid (University of Regensburg, Germany) Leon Schöppl (University of Regensburg, Germany) Bart Verheij (University of Groningen, Netherlands) Organizers: Niki Pfeifer (University of Regensburg, Germany) Hans Rott (University of Regensburg, Germany) Giuseppe Sanfilippo (University of Palermo, Italy) The workshop will be held in presence. Because of COVID-19 restrictions, we offer the possibility for online participation. Please register (for free) here: https://forms.gle/B1iEiA8JGK8Y5v8M6 The Zoomlink for online participation will be sent to registered participants shortly before the workshop starts. --- Dr. Dr. Niki Pfeifer | Department of Philosophy, University of Regensburg | https://go.ur.de/np ---

Aug. 2, 2022