November 2024 - SIPTA News - lists.sipta.org

Invitation to the EpImp Concluding Conference: 18–19 December 2024, Bristol

by Van Camp, Arthur

Dear Imprecise Probability Enthusiast, We are delighted to invite you to the EpImp Concluding Conference, the final event of the ERC-funded project 'Epistemic Utility for Imprecise Probability'. This conference will take place on 18 and 19 December 2024 in Bristol, UK. We are thrilled to announce an outstanding lineup of speakers, with presentations scheduled as follows: Wednesday, 18 December 09:00–10:15: Francesca Zaffora Blando 10:30–11:45: Branden Fitelson 13:00–14:15: Jason Konek & Giacomo Molinari 14:30–15:45: Gregory Wheeler 16:00–17:15: Gert de Cooman Thursday, 19 December 09:00–10:15: Matthias Troffaes 10:30–11:45: Catrin Campbell-Moore 13:00–14:15: J. Dmitri Gallow 14:30–15:45: Kevin Blackwell & Arthur Van Camp 16:00–17:15: Kevin Dorst Further details are available on our conference website: https://ep-imp.gitlab.io/concluding-conference-2024/. Registration This event is open to everyone interested in imprecise probabilities. Registration is free of charge, and we will provide lunch and coffee to all registered participants. To secure your place, please complete the following form by 7 December: https://doodle.com/sign-up-sheet/participate/3f234fc0-a397-4150-86f0-cddc2f…. Speakers do not need to complete this form. Venue The conference will be held at the Wills Memorial Building, Queens Rd, Bristol BS8 1QE, United Kingdom. You can find the location here: https://www.openstreetmap.org/?mlat=51.45636&mlon=-2.60456#map=18/51.45636/…. Accommodation recommendations For proximity to the venue, we recommend the following accommodations: - The Berkeley Square Hotel (https://cliftonhotels.com/bristol-hotels/berkeley-square) - The Clifton Hotel Bristol (https://cliftonhotels.com/bristol-hotels/clifton-bristol-city-centre) - The Washington Guesthouse Bristol (https://cliftonhotels.com/bristol-hotels/washington) If you have any questions or require further information, please do not hesitate to contact us. We look forward to welcoming you to Bristol this December! Warm regards, The EpImp Team: Jason Konek (Chair of the Organising Committee) – jason.konek(a)bristol.ac.uk<mailto:jason.konek@bristol.ac.uk> Kevin Blackwell Giacomo Molinari Arthur Van Camp

Nov. 29, 2024

Fwd: CFP - IJCRS 2025

by Stefania Boffa

Dear Colleagues, Let me share the CFP of the *11th International Joint Conference on Rough Sets (*IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home>*) *with you*.* Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

Nov. 27, 2024

CNRS positions open (16 total in the two computer science committees)

by sdesterc

Dear (young) colleagues, As every year, CNRS (and INRIA) is opening nation-wide positions in every field of science (for CNRS, INRIA focuses mostly on computer science and applied mathematics). For most people here, this would mean positions available in Philosophy, Economy, Mathematics and Computer Science, but maybe others. Those positions are permanent and full-time research positions, with a lot of flexibility in how you manage your time and activities. CNRS candidates typically have to produce a summary of past research and a research project for the next 5-10 years, and give three teams or laboratory (these have to be joint research units, but there are such research units in many places in France). For computer science, the official website is there: https://www.ins2i.cnrs.fr/en/cnrsinfo/researchers-competition-2025-list-pos… And you can fetch some useful info there: https://mathurinm.github.io/cnrs_inria_advice/ In computer science, recruited candidates are typically young researchers, i.e., having less than 7-8 years of research experience since the beginning of the PhD thesis (but there can be exceptions). This may change if you want to apply, e.g., in economy or philosophy, as every field has its particularities. If you wish to apply, you should try to identify and contact ASAP a laboratory in France where you would like to work (e.g., by just looking up in which laboratory is your favourite French researcher working), and contact them. Laboratories that have people dealing with imprecision in uncertainty or that would be interested in candidates working in these fields include mine, but also the CRIL (Lens), IRIT (Toulouse), GREGHEC and LAMSADE (Paris), and a couple others! Deadline for applications are beginning of January, but putting up a good application file takes quite some time and efforts. I can try to reply to your possible questions if you have some. However, I will mostly have information about the committees and processes concerned with computer science, automatic, robotic, signal treatment, machine learning and uncertainty propagation. Best Sébastien

Nov. 23, 2024

Next SIPTA seminar: 22nd November 3pm Paris Time. Jason Konek on philosophy and decision making

by sdesterc

Dear Siptians, 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 22nd of November (Friday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85974092076 For this new seminar, we are very happy to have Jason Konek as our speaker. Jason Konek is currently Senior Lecturer at the philosophy department of Bristol University. Jason Konek had many contribution in the philosophy of imprecise probabilities, and has notably been awarded a prestigious ERC Grant “Epistemic Utility for Imprecise Probability” to pursue his work on this topic. On the 22nd of November, at 15:00 Paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Bringing philosophy and IP into conversation: Puzzles and challenges for decision theory”. 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 22nd of November, 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=GToHUaaIzjc&t=681s See you at the seminar! Sébastien, Enrique and Jasper

Nov. 19, 2024

REC 2026: mark your calendars, imprecise probabilities are one of the highlighted topics

by Kreinovich, Vladik

The 11th International Workshop on Reliable Engineering Computing REC 2026 will be heled in Dortmund, Germany, on September 2-4, 2026 (dates are tentative) REC2026 will provide a multi-disciplinary forum to bring together various engineering and associated disciplines with the common focus on methodologies and theories in the field of risk and uncertainty. As in the previous biennial REC-meetings, the central theme of the discussions will be the reliability of engineering computations. Covering a broad range of topics, REC2024 aims to address the urgent need for innovative theories and advanced computational approaches to ensure safety of engineering systems starting with uncertainty quantification of input parameters. Topics include but are not limited to: * Uncertainty analysis and modeling * Reliability analysis * Risk analysis * Reliability-based design * Performance-based design * Risk-informed decision-making * Sustainability and resilience * Risk and hazard mitigation * Optimization under uncertainty * Inverse problems * Model reduction * Surrogate models * System and parameter identification * Structural health monitoring * Reliability analysis * Risk analysis * Reliability-based design * Performance-based design * Risk-informed decision-making * Sustainability and resilience * Risk and hazard mitigation * Optimization under uncertainty * Inverse problems * Model reduction * Surrogate models * System and parameter identification * Structural health monitoring Methods and theories may include: * Probability theory * Stochastic approaches * Bayesian theory * Fuzzy set theory * Imprecise probabilities * Evidence theory * P-box approach * Fuzzy probability theory * Interval analysis * Fuzzy analysis * Convex modeling * Information gap theory * AI and Machine Learning Contributions are invited with emphasis on both theory and applications. Previous REC-meetings have been hosted: * at Georgia Tech Savannah (United States) in 2004, 2006, and 2008, * at the National University of Singapore in 2010, * at Brno University of Technology in Brno (Czech Republic) in 2012, * at Illinois Institute of Technology in Chicago (United States) in 2014, * at Ruhr University Bochum (Germany) in 2016, * at Liverpool University (United Kingdom) in 2018, * online in 2021 (due to COVID-19 pandemic), * at Tsinghua University in Beijing (China) in 2024. Contacts: * Matthias Fass matthias.faes(a)tu-dortmund.de<mailto:matthias.faes@tu-dortmund.de> * Michael Beer beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de>

Nov. 14, 2024

I: [CISPA-Researchers] Guest talk by Michele Caprio (University of Manchester) on 19 Nov at 1400.

by Michele Caprio

Of possible interest for someone in the SIPTA community 🙂 Yours, Michele ________________________________ Da: Siu Lun Chau <siu-lun.chau(a)cispa.de> Inviato: martedì 12 novembre 2024 10:53 A: researchers(a)lists.cispa.saarland <researchers(a)lists.cispa.saarland> Cc: Michele Caprio <michele.caprio(a)manchester.ac.uk> Oggetto: [CISPA-Researchers] Guest talk by Prof Michele Caprio (University of Manchester) on 19 Nov at 1400. Dear CISPA Researcher, You are cordially invited to Michele Caprio's (University of Manchester) research talk next Tuesday at 2 p.m. in D2 room 1.01. The talk is also available on Zoom [cispa-de.zoom-x.de]<https://urldefense.com/v3/__https://cispa-de.zoom-x.de/my/muandet__;!!PDiH4…>. Title: Optimal Transport for Epsilon Contaminated Credal Set Talk Abstract: We provide a version for lower probabilities of Monge's and Kantorovich's optimal transport problems. We show that, when the lower probabilities are the lower envelopes of ε-contaminated sets, then our version of Monge's, and a restricted version of our Kantorovich's problems, coincide with their respective classical versions. We also give sufficient conditions for the existence of our version of Kantorovich's optimal plan, and for the two problems to be equivalent. As a byproduct, we show that for ε-contaminations the lower probability versions of Monge's and Kantorovich's optimal transport problems need not coincide. The applications of our results to Machine Learning and Artificial Intelligence are also discussed. Bio: Michele is a Lecturer (Assistant Professor) in Machine Learning and Artificial Intelligence at The University of Manchester. He obtained his PhD in Statistics from Duke University, and worked as a postdoctoral researcher in the Department of Computer and Information Science of the University of Pennsylvania. His general interest is probabilistic machine learning, and in particular the use of imprecise probabilistic techniques to investigate the theory and methodology of uncertainty quantification in Machine Learning and Artificial Intelligence. Recently, he won the IJAR Young Researcher and the IMS New Researcher Awards, and he was elected a member of the London Mathematical Society. P.S. Michele is visiting our group for a week, so if anyone is interested in learning about his amazing work on imprecise probabilistic machine learning, feel free to reach out and set up a meeting. Best, Siu Lun Chau --- Siu Lun (Alan) Chau, Ph.D (Oxon) | Postdoctoral Researcher CISPA - Helmholtz Center for Information Security Stuhlsatzenhaus 5, 66123 Saarbrücken, +44 7415137484 | siu-lun.chau(a)cispa.de | https://chau999.github.io/ [chau999.github.io]<https://urldefense.com/v3/__https://chau999.github.io/__;!!PDiH4ENfjr2_Jw!G…>

Nov. 12, 2024

PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning

by Michele Caprio

PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning The UKRI AI CDT in Decision Making for Complex Systems<https://www.ai-decisions-cdt.ac.uk/> — joint between The University of Manchester and the University of Cambridge — has an open position for a PhD student in Manchester. The PhD research's more specific area is Imprecise Probabilistic Machine Learning. The research focuses on developing a new Multimodal Learning paradigm based on the notion of Credal Sets. This project allows for doing both fundamental and applied research, with the aim of advancing and bridging both theory and applications. The candidate should hold a master's degree in mathematics, computer science, statistics, or a related field. Further details about this position, and a link to the application system, can be found at https://www.findaphd.com/phds/project/multimodal-credal-learning-theory/?p1… For further information, please contact Michele Caprio (michele.caprio(a)manchester.ac.uk<mailto:michele.caprio@manchester.ac.uk>).

Nov. 7, 2024