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EurIPS Workshop on Epistemic Intelligence in ML
by Michele Caprio Sept. 13, 2025

Sept. 13, 2025

The following has IPs at its core. Please consider attending and submitting! Yours, Michele --- Dear all, Still deciding between NeurIPS and EurIPS? Maybe this will help! We are delighted to announce that the 1st Workshop on Epistemic Intelligence in Machine Learning (EIML) will take place in conjunction with EurIPS 2025, this December in Copenhagen, Denmark. The workshop will bring together researchers to discuss the foundations and applications of epistemic uncertainty in machine learning. We will soon be accepting non-archival submissions (4–6 pages, excluding references and appendices). The deadline for submission is 17th October 2025. Please find below the detailed Call for Papers. For further information, please check out our workshop website: https://sites.google.com/view/eiml-eurips2025/ [sites.google.com] We warmly invite you to consider submitting your work and would be grateful if you could also help us disseminate the call within your networks. ****************************************************************************************************************************** Call for Papers: 1st Workshop on Epistemic Intelligence in Machine Learning (EIML) 6th or 7th December 2025 EURIPS 2025, Copenhagen, Denmark. https://sites.google.com/view/eiml-eurips2025/ [sites.google.com] ****************************************************************************************************************************** KEYNOTE SPEAKERS: Prof. Fabio Cuzzolin (Oxford Brokes University, United Kingdom) Prof. Eyke Hüllermeier (Ludwig Maximilian University of Munich (LMU), Germany) Prof. Ryan Martin (NC State University, United States) Prof. Fanny Yang (ETH Zurich, Switzerland) PANELISTS (In addition to the keynote speakers): Prof. Jason Konek (University of Bristol, United Kingdom) Prof. Gert de Cooman (Ghent University, Belgium) ORGANISING COMMITEE: Michele Caprio (University of Manchester, United Kingdom) Siu Lun Chau (Nanyang Technological University, Singapore) Ruobin Gong (Rutgers University, United States) Shireen Kudukkil Manchingal (Oxford Brookes University, United Kingdom) Krikamol Muandet (CISPA Helmholz Center for Information Security, Germany) Bob Williamson (University of Tübingen, Germany) AIMS AND SCOPE: This workshop seeks contributions from researchers across machine learning, statistics, philosophy of science, decision theory, and related disciplines to explore theoretical foundations, algorithmic innovations, and practical applications that center around epistemic uncertainty (EU). We welcome works-in-progress and mature research that address the central challenge of reasoning and decision-making under epistemic uncertainty. Specific topics of interests include, but are not limited to: Representation and Measurement of Epistemic Uncertainty Mathematical Frameworks for EU: Bayesian methods, imprecise probabilities, fuzzy logic, belief functions, possibility theory, etc. Comparisons and formal properties of uncertainty representations Evaluation criteria and benchmarking strategies for UQ methods. Epistemic v.s. Aleatoric uncertainty: delineation and interaction. Prediction Under Epistemic Uncertainty Predictive models that capture and express EU: Bayesian models, evidential deep learning, credal models Generalisation under distribution shifts, domain adaptation, and robustness analysis OOD detection and safe prediction under model misspecification Learning under partial or vague supervision Decision-Making and Learning Under Epistemic Uncertainty Risk-sensitive and ambiguity-aware decision-making frameworks Uncertainty quantification in generative models Active learning, Bayesian experimental design, and uncertainty-aware optimisation EU in reinforcement learning, continual learning, and online learning setting Integration of principled uncertainty models into large-scale architectures (e.g., transformers, diffusion models) Scalable algorithms for traditionally intractable uncertainty models We encourage both theoretical contributions and applied case studies. Submissions that challenge prevailing assumptions, propose novel benchmarks, or provide insights into the philosophical and foundational dimensions of uncertainty in AI are especially welcome. Sent from Outlook for iOS<https://aka.ms/o0ukef>

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IPMU'2026: first call for papers
by Enrique Miranda Sept. 11, 2025

Sept. 11, 2025

******** PLEASE APOLOGIZE FOR MULTIPLE COPIES ******** *********************************************************** 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026) June 15th-19th, 2026, Rome, Italy https://www.sbai.uniroma1.it/conferenze/ipmu2026/ ************************************************************ The IPMU conference is organized every two years with the aim of bringing together scientists working on information processing and the management of the many aspects of uncertainty. It also serves as an ideal forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2026 edition of IPMU will take place at the Faculty of Economics of Sapienza University of Rome, Italy, in the nearby of the University city of Rome and the main train stations (Termini and Tiburtina). It celebrates the 40th anniversary from the first edition of the conference that took place in Paris, France. The choice of Rome for this special occasion is not a case since Rome and Paris are exclusively and reciprocally twinned, starting from April 1956. Sapienza University of Rome is one of the oldest universities of the world, being it funded in 1303 by Pope Boniface VIII, and is the largest university in Europe. Due to its strategic position, the Faculty of Economics allows to easily reach the plethora of monuments, historic hot-spots and wonderful sightseeing places that awarded to Rome the name of the Eternal city. Get ready for discussing cutting-hedge research on methods for the management of uncertainty and aggregation in one of the most beautiful cities of the world. On behalf of the Organizing Committee of the 21st IPMU Conference, we invite researchers to submit original research contributions (theoretical, methodological, applications) on a specific topic within the scope of the conference which includes (but is not limited to) the following topics: Theory, Methods and Tools: Measures of Information and Uncertainty Bayesian and Probabilistic Methods Evidence, Possibility and Utility Theories Imprecise Probabilities Fuzzy, Rough, Intuitionistic, etc, Sets and operators Fuzzy Logic and other non-classical Logics Multiple Criteria Decision Methods Aggregation Methods Knowledge Acquisition, Representation and Reasoning Graphical Models Machine Learning Evolutionary Computation Neural Networks Data Analysis and Data Science. Application Fields: Big Data Smart Cities Image Processing Intelligent Systems and Information Processing, Logistics, Transportation and Routing Information Retrieval and Fusion Agents E-Health, Medicine and Bioinformatics Finance Fuzzy Optimization SUBMISSION INFORMATION Authors should consult Springer’s authors’ instructionshttps://www.springer.com/gp/computer-science/lncs/conference-pr… and use the proceedings template, either for LaTeX or for Word, for the preparation of their papers. We welcome two types of submissions: regular papers, with a maximum length of 12 pages, and short papers, with a maximum length of 6 pages. Papers must be submitted in PDF via easychair athttps://easychair.org/my/conference?conf=ipmu2026 The accepted long papers of IPMU 2026 will be published in the Communications in Computer and Information Science (CCIS) series, by Springer. GRANTS AND AWARDS A number of student grants provided by EUSFLAT will be provided to support student participation at the conference. In addition, there shall be a number of awards for the best paper and best student paper at the conference. Information about these grants shall provided at the conference website in due course. IMPORTANT DATES Paper submission deadline: January 12, 2026 Notification of acceptance: February 15, 2026 Camera-ready versions: March 1, 2026 Conference: June 15-19, 2026 Contact:ipmu2026@sbai.uniroma1.it General Chair Barbara Vantaggi (Italy) Program Chairs Giulianella Coletti (Italy) Thierry Denoeux (France) Anne Laurent (France) Davide Petturiti (Italy) Publication Chair Enrique Miranda (Spain) Special Session Chair: Jesús Medina (Spain) Social Media Chairs Andrea Cinfrignini (Italy) Silvia Lorenzini (Italy) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA)

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Call for Abstracts – REC2026, TU Dortmund University (2–5 September 2026)
by Faes, Matthias Sept. 8, 2025

Sept. 8, 2025

Dear Colleagues, We are pleased to announce that the abstract submission portal is now open for the 11th International Workshop on Reliable Engineering Computing (REC2026), to be held from 2 to 5 September 2026 at TU Dortmund University, Germany. The central theme of REC2026 is: Reliability Computations in a Data and Model-Driven World We warmly invite you to contribute your latest research on uncertainty quantification, data-driven approaches, and reliability in complex systems. REC2026 will feature keynote lectures, invited talks, and discussions with leading experts from around the world. Submit your abstract here: https://rec2026.web.tu-dortmund.de/ We look forward to receiving your contributions and welcoming you in Dortmund! With best regards, The REC2026 Organizing Committee

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ACM SIGMETRICS Doctoral Dissertation Award -- deadline September 15
by Daniel Sadoc Sept. 3, 2025

Sept. 3, 2025

ACM SIGMETRICS Doctoral Dissertation Award The SIGMETRICS Doctoral Dissertation award recognizes excellent thesis research by doctoral candidates in the field of performance evaluation analysis of computer systems. The award winner will receive a plaque, a $1,000 honorarium, and a complimentary registration to the ACM SIGMETRICS conference. The SIGMETRICS Doctoral Dissertation Award winner and up to two honorable mentions will be recognized at the annual ACM SIGMETRICS conference. *Eligibility:* - The final dissertation defense should take place at the nominee’s host institution during the 12 months prior to the submission deadline and not earlier than the previous submission deadline. Each submitted doctoral dissertation must be on a topic related to the measurement, modeling, analysis, and/or design of computing systems and networks. Of particular interest is work that presents new performance evaluation methods or that creatively applied previously developed methods to make predictions about, or gain insights into, key design tradeoffs in a variety of computing, networked, and cyber-physical systems. The determination of whether a thesis is in scope for the award will be made by the SIGMETRICS Doctoral Dissertation Award Committee. - An English-language version of the dissertation must be submitted with the nomination. - A dissertation can be nominated for both the SIGMETRICS Doctoral Dissertation Award and the ACM Doctoral Dissertation Award. - A supervisor can nominate a maximum of two PhD students in the same year. *Important dates:* - Submission deadline: September 15, 2025. - Notification: November 15, 2025. *Submission procedure:* All nomination materials must be submitted electronically by the supervisor to the 2025 committee chair, Daniel Sadoc Menasche (sadoc(a)dcc.ufrj.br) Please use the subject line: "SIGMETRICS DDA 2025 [candidate name]". You will receive an acknowledgment of successful submission within one week of your email. Nominations must be received by the submission deadline and must be submitted in English. Late submissions will not be considered. Supervisors of co-supervised candidates should coordinate to ensure that only one nomination per candidate is submitted to the committee. Nominations for the award must include: - A statement summarizing the candidate’s PhD thesis contributions and potential impact, and justification of the nomination. Please address the candidate's involvement and contributions with the SIGMETRICS or Performance community. No more than two pages; - A list of papers published within the candidate's thesis; - A copy of the PhD thesis itself; - Two endorsement letters supporting the nomination including the significant PhD thesis contributions of the candidate. Each endorsement should be no longer than 2 pages with a clear specification of the nominee’s PhD thesis contributions and potential impact; - A concise statement (one sentence) of the PhD thesis contribution for which the award is being given. This statement will appear on the plaque and on the SIGMETRICS website. PDF format is required for all materials. ACM's conflict-of-interest guidelines <https://awards.acm.org/conflict-of-interest> apply to all award nominations. The 2025 Doctoral Dissertation Award Committee comprises Daniel Sadoc Menasché (chair), Ningfang Mi, Jayakrishnan Nair, Giovanni Neglia and Ziv Scully.

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Second call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026
by GIUSEPPE SANFILIPPO July 24, 2025

July 24, 2025

Second call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026 Apologies if you receive multiple copies of this message ========================================= Conference announcement ========================================= The 5th Italian Meeting on Probability and Mathematical Statistics will take place in Palermo, Italy, from June 8 to 12, 2026. Website: https://probabilitypalermo2026.unipa.it ================================ Submission Guidelines for a CS ================================ We invite all researchers interested in contributing to the event to submit proposals for Contributed Sessions. The participation of young researchers and PhD students working in Italy or abroad is strongly encouraged. A Contributed Session (CS) consists of four presentations by speakers invited by one or two organizers (organizers may also be among the speakers). In the “Contributed Session” submission form, please include: - The session title - The names of the 4 speakers - A short description of the session To submit a CS, please visit: https://probabilitypalermo2026.unipa.it/contributed-sessions/ ======================== Key Dates ======================== Contributed Session submission deadline: September 30, 2025 Notification of acceptance: November 15, 2025 Abstract submission for accepted CS: December 31, 2025 Early registration deadline: February 28, 2026 ============= Description ============= Established in 2017, the Italian Meeting on Probability and Mathematical Statistics aims to bring together Italian and international researchers with shared interests in any field of probability and mathematical statistics, promoting the dissemination of recent scientific results and fostering academic exchange. The first meeting was held in Turin in 2017. Since then, the meetings have taken place in Vietri sul Mare (2019), Bologna (2022), and Rome (2024). The 5th edition, promoted by the PRISMA group (https://umi-prisma.polito.it/) of the Italian Mathematical Union (UMI), will be held in Palermo, Italy, from June 8 to 12, 2026, at the Campus of the University of Palermo, Viale delle Scienze, (https://probabilitypalermo2026.unipa.it/general-information/) ================ Plenary Speakers ================ We are pleased to announce the following confirmed plenary speakers (https://probabilitypalermo2026.unipa.it/invited-speakers/) - Francesca Biagini (LMU, Germany); - Stefano Favaro (University of Turin, Italy); - Franco Flandoli (Scuola Normale Superiore di Pisa, Italy); - Silvio Micali (MIT, USA); - Giuseppe Savaré (Bocconi University, Italy). ======================== Steering Committee ======================== Giacomo Ascione, Scuola Superiore Meridionale, Naples Claudia Ceci, Sapienza University of Rome Paolo Dai Pra, University of Verona Antonio Di Crescenzo, University of Salerno Marco Fuhrman, University of Milan Domenico Marinucci, University of Rome “Tor Vergata” Laura Sacerdote, University of Turin Giuseppe Sanfilippo, University of Palermo Enrico Scalas, Sapienza University of Rome Barbara Trivellato, Polytechnic University of Turin ======================== Local Committee ======================== https://probabilitypalermo2026.unipa.it/committees/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Giuseppe Sanfilippo Departments of Mathematics and Computer Science, University of Palermo, Italy https://sites.unipa.it/sanfilippo giuseppe.sanfilippo(a)unipa.it ~~~~~~~~~~~~~~~~~~~~~~~~~

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PhD Opportunities in Foundations of Epistemic Uncertainty in Machine Learning at NTU Singapore
by Chau Siu Lun (Asst Prof) July 12, 2025

July 12, 2025

Dear SIPTA community, I am currently recruiting motivated and enthusiastic PhD students with a strong mathematical, statistical, or computer science background to join my group at the College of Computing & Data Science, Nanyang Technological University (NTU), Singapore. The position starts in January (or August) 2026 and is fully funded. Our research focuses on the foundations of epistemic uncertainty in machine learning. The student will work closely with me on both mathematical theory and practical algorithm development, to build intelligent systems that not only make accurate predictions, but can also recognise their limitations and communicate what they know, and how well they know it, with clarity and confidence. Key topics include: imprecise probability, uncertainty quantification, information theory, ensemble methods, cooperative-game theory, and kernel methods. For more details and application instructions, please visit: https://chau999.github.io/group/. I would be very grateful if you could share this opportunity with any strong candidates or relevant networks. Thank you very much. Best regards, Siu Lun --- Siu Lun (Alan) Chau, DPhil (Oxon) Assistant Professor College of Computing & Data Science Nanyang Technological University 50 Nanyang Ave, Block N 4, 639798 Singapore siulun.chau(a)ntu.edu.sg<mailto:siulun.chau@ntu.edu.sg> | https://chau999.github.io/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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7th School on Belief Functions: Deadline for grant application approaching
by Serafin Moral June 25, 2025

June 25, 2025

The 7th School on Belief Functions and their Applications University of Granada, Granada, Spain October 19 — October 23, 2025 ****************************************************************** The deadline for grant application is approaching: Deadline for grant application: July 5th Deadline for early registration: July 15th More information at: https://bfasociety.org/BFTA2025/index.html

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AI-Fun with ELLIS Seminar | Theo Damoulas: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by Michele Caprio June 11, 2025

June 11, 2025

Dear SIPTA Members, The Manchester Centre for AI Fundamentals and Manchester's ELLIS Unit are co-hosting a series of seminars featuring expert researchers working in the fundamentals of AI. On 18 June, we are joined by Prof Theo Damoulas from the University of Warwick. Title: Distributionally Robust Optimisation with Bayesian Ambiguity Sets Bio: I am a Professor in Machine Learning and Data Science with a joint appointment in Computer Science and Statistics. I am a Turing AI Fellow (2021-2026) having received the UK Research and Innovation (UKRI) Turing AI Acceleration Fellowship in order to lead research on setting the Machine Learning Foundations of Digital Twins. I am an ELLIS member and also affiliated with New York University as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP). My research interests are in probabilistic machine learning and Bayesian statistics with an emphasis on the study and integration of various forms of structure and inductive biases (structured priors, spatiotemporal dependencies, dynamics, compositions, physical laws, flows, causality, etc) while advancing robust and scalable approximate inference methodologies. My research has broad applications in Digital Twins, Bayesian nonparametrics and spatiotemporal problems in urban science and computational sustainability. I am the founder and PI of the cross-departmental Warwick Machine Learning Group and I lead two large projects at The Turing that are impact stories. Please consider joining! Yours, Michele Caprio -- Centre for AI Fundamentals (AI-FUN) is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://zoom.us/j/97677103903 Meeting ID: 976 7710 3903

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Call for Papers – REC2026 at TU Dortmund University
by Faes, Matthias May 21, 2025

May 21, 2025

Call for Papers – REC2026 at TU Dortmund University Dear Colleague, We are pleased to invite you to the 11th International Workshop on Reliable Engineering Computing (REC2026), taking place 2–5 September 2026 at TU Dortmund University, Germany. Under the theme “Reliability Computations in a Data and Model-Driven World,”REC2026 connects classical uncertainty quantification with modern advances in AI and data science. As usually, a specific focus is on the development and application of imprecise probabilistic methods in engineering computations. REC2026 will offer an interdisciplinary forum on uncertainty quantification, risk assessment, and the reliability of engineering computations. The program includes keynote lectures, technical sessions, networking opportunities, a welcome reception (2 Sept), and a conference dinner (4 Sept). Important Dates 01/12/2025 – Abstract Submission 01/04/2026 – Full Paper Submission Submission templates will be provided soon. Mark your calendar and stay tuned! Website: https://rec2026.web.tu-dortmund.de/ <https://ddec1-0-en-ctp.trendmicro.com/wis/clicktime/v1/query?url=https%3a%2…> Flyer attached. With best regards, Matthias Faes (TU Dortmund University) Michael Beer (Leibniz University of Hannover) REC2026 General Chairs

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Gert de Cooman's invited talk in Perugia (Italy)
by Davide Petturiti May 19, 2025

May 19, 2025

Dear SIPTA’s members, I would like to advertise the following invited talk that Gert de Cooman will give on 23 May 2025 in Perugia (Italy) at 11:00 AM (CEST). TITLE: “From accept & reject statements to conservative inference with classical and quantum probabilities: a unified approach”. The invited talk falls within the Workshop PRIN 2022 “Models for dynamic reasoning under partial knowledge to make interpretable decisions” of which I attach the program. For those of you who are interested, Gert’s talk will be streamed online on MS Teams at the following link: https://tinyurl.com/4w3yfknk For more information, do not hesitate to contact me (e-mail: davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it>). All the best, Davide Petturiti [signature_2588867521] Davide Petturiti, Ph.D. Associate Professor 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<mailto:davide.petturiti@dmi.unipg.it> Website: https://sites.google.com/site/davidepetturiti –––––––––––––––––––––––– Associate Researcher at LIP6 - Sorbonne Université<https://www.lip6.fr/actualite/personnes-fiche.php?ident=A88> Team: LFI - Learning, Fuzzy and Intelligent systems Axis: AID - Artificial Intelligence and Data science

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