- SIPTA News - lists.sipta.org

[SIPTA] {Spam?} [jobs] PhD studentship in Epistemic Artificial Intelligence
by Fabio Cuzzolin Sept. 15, 2021

Sept. 15, 2021

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[SIPTA] Re: AI and Computational Intelligence Conference in Vietnam: deadline extended to September 15
by Kreinovich Sept. 11, 2021

Sept. 11, 2021

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[SIPTA] Re: international econometric conference in Vietnam -- deadline extended to September 15
by Kreinovich Sept. 1, 2021

Sept. 1, 2021

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[SIPTA] Re: econometric conference in Thailand: deadline extended to September 15
by Kreinovich Sept. 1, 2021

Sept. 1, 2021

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[SIPTA] Re: deadline extended: Third International Conference on Artificial Intelligence and Computational Intelligence
by Kreinovich Sept. 1, 2021

Sept. 1, 2021

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[SIPTA] Re: Extended deadline: Call for Papers: 8th International Symposium on Reliability Engineering and Risk Management (ISRERM), Hannover, Germany, 4-7 Sept 2022
by Kreinovich Sept. 1, 2021

Sept. 1, 2021

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[SIPTA] [IEEE DSS-2021] Call for Papers | Hybrid | Submission deadline: 15 Sep 2021
by Arnaud Martin Aug. 30, 2021

Aug. 30, 2021

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[SIPTA] [vacancy] PhD position in Robust Bayesian Uncertainty Quantification
by Erik Quaeghebeur Aug. 27, 2021

Aug. 27, 2021

Dear colleagues, We have an opening for a PhD position in Robust Bayesian Uncertainty Quantification at Eindhoven University of Technology: https://jobs.tue.nl/en/vacancy/phd-candidate-on-eaisi-%E2%80%93-damocles-ro… It is part of a multidisciplinary project that focuses on the modeling of physical systems (constitutive relations, to be more precise) using various approaches in the white box–black box spectrum. Our work package will approach the problem from a Bayesian modeling perspective and build in robustness using techniques developed in the imprecise probability field. Please disseminate to promising candidates in your neighborhood! Best regards, Erik -- https://ac.erikquaeghebeur.name

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[SIPTA] Causal expectation maximisation
by Marco Zaffalon Aug. 26, 2021

Aug. 26, 2021

Dear Friends and Colleagues, We have a report showing that we can solve causal inference in very general terms, albeit approximately, via expectation maximisation. We have made it publicly available here, if you are interested: https://arxiv.org/abs/2011.02912. *** I would also like to share some information on causality-related events for those of you who may be interested (thanks to Alessandro Antonucci for helping to collect them): - CLeaR (deadline Oct. 22) https://www.cclear.cc/2022 - Why 2021 (deadline Sept. 18) https://why21.causalai.net - SI IEEE (deadline Oct. 22) https://cis.ieee.org/images/files/Publications/TNNLS/special-issues/CFP_TNN…. *** Finally, someone might be interested in this recent PhD thesis that proposes nice statistical tools to consider omitted variable bias in common regression valuation metrics + sensitivity analysis tools in linear models: https://escholarship.org/content/qt5bv3x35d/qt5bv3x35d.pdf. Wishing a happy and productive re-start of work to all, Marco

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[SIPTA] Call for participation: Reasoning Web Summer School (RW) 2021
by Ivan José Varzinczak Aug. 22, 2021

Aug. 22, 2021

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