Call for Papers
Workshop "Advances in Causal Inference " Uncertainty in Artificial Intelligence 2015 (UAI 2015) Thursday, July 16, 2015 Amsterdam, The Netherlands Causality is central to how we view and react to the world around us, to our decision making, and to the advancement of science. Causal inference in statistics and machine learning has advanced rapidly in the last 20 years, leading to a plethora of new methods, both for causal structure learning and for making causal predictions (i.e., predicting what happens under interventions). However, a side-effect of the increased sophistication of these approaches is that they have grown apart, rather than together. The aim of this workshop is to bring together researchers interested in the challenges of causal inference from observational and interventional data. All topics in causal inference are welcome, and for this year we particularly encourage submissions on causal inference for non-iid data, including causal inference in point processes, social networks, ordinary differential equations, among others. Contributions describing practical applications of causal methods are also strongly encouraged. This one-day workshop will explore these topics through a set of invited talks, presentations and a poster session. See our website for updates: http://www.homepages.ucl.ac.uk/~ucgtrbd/uai2015_causal/ [This workshop takes place directly after the 31st Conference on Uncertainty in Artificial Intelligence (UAI), 13-15 July, 2015.] Example Topics: ============== * Addressing the challenge of practical causal inference in the context of real applications; * Developing measures and methods for evaluating the quality of causal predictions; * Feasible prediction of post-interventional distributions by reconstructing latent confounders; * Considering the relative robustness of assumptions and algorithms to model misspecification; * Methods for causal inference from high-dimensional data; * Methods for combining different datasets; * Experimental design for causal inference; * Real-world validation of causal inference methods; * Discussions on the possibility of making causal predictions in a highly confounded and cyclic world; * Occam's Razor in causal inference (methodological justifications for oversimplified models). Submission ========= There are two possible submission formats. The authors can either submit: - a one-page abstract (including references) describing recently published work, or - a full-length paper, limited to 9 pages (including figures and text, excluding references). If a contribution consists of material that has been published elsewhere earlier on, the authors must choose the one-page abstract format and cite the original work. Our submission deadline comes a few days after the UAI author notification deadline. We encourage co-submission of papers that have been submitted to the main UAI 2015 conference. Please indicate if your paper was also submitted to UAI. If accepted for UAI, the paper would be published in UAI proceedings, but we will also invite the authors to give a poster presentation at the workshop. Style files for full papers can be found on the UAI website: http://auai.org/uai2015/ Abstracts and papers must be submitted via e-mail before the deadline (May 15) to: [email protected]<mailto:[email protected]> Contributions will be peer reviewed by at least two reviewers. Accepted papers will be presented either as oral presentation or in a poster session. Proceedings ========== After the workshop we will publish proceedings via the web-page: http://www.homepages.ucl.ac.uk/~ucgtrbd/uai2015_causal/ Authors of accepted papers can choose to contribute the submitted manuscript (i.e., the full paper or the abstract). They can also choose not to contribute to the proceedings. Oral presentation slides will also be disseminated via the workshop web-page. Important Dates ============== * May 15 2015: Submission deadline for abstracts and full papers * June 12 2015: Author notification * July 16 2015: Workshop (following the UAI 2015 main conference, July 12-15) Organizers ========= Ricardo Silva (Chair), University College London Tom Claassen, Radboud University Nijmegen Robin Evans, University of Oxford Jonas Peters, Max Planck Institute for Intelligent Systems Ilya Shpitser, University of Southampton
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Hello, I am co-organizing the UAI Causal Inference workshop this year. If you know people who might be interested in submitting to it (and
if they haven’t been spammed yet by my e-mails to the UAI list and ML-News), feel free to forward this to them. -Ricardo --------------------------- Call for Papers Workshop "Advances in Causal Inference " Uncertainty in Artificial Intelligence 2015 (UAI 2015) Thursday, July 16, 2015 Amsterdam, The Netherlands Causality is central to how we view and react to the world around us, to our decision making, and to the advancement of science. Causal
inference in statistics and machine learning has advanced rapidly in the last 20 years, leading to a plethora of new methods, both for causal structure learning and
for making causal predictions (i.e., predicting what happens under interventions). However, a side-effect of the increased sophistication of these approaches is that they have
grown apart, rather than together. The aim of this workshop is to bring together researchers interested in the challenges of causal inference from observational and interventional
data. All topics in causal inference are welcome, and for this year we particularly encourage submissions on causal inference for non-iid data, including causal inference in point processes, social networks, ordinary differential equations, among others. Contributions
describing practical applications of causal methods are also strongly encouraged. This one-day workshop will explore these topics through a set of invited talks, presentations and a poster session. See our website for updates: http://www.homepages.ucl.ac.uk/~ucgtrbd/uai2015_causal/ [This workshop takes place directly after the 31st Conference on Uncertainty in Artificial Intelligence (UAI), 13-15 July, 2015.] Example Topics: ============== * Addressing the challenge of practical causal inference in the context of real applications; * Developing measures and methods for evaluating the quality of causal predictions; * Feasible prediction of post-interventional distributions by reconstructing latent confounders; * Considering the relative robustness of assumptions and algorithms to model misspecification; * Methods for causal inference from high-dimensional data; * Methods for combining different datasets; * Experimental design for causal inference; * Real-world validation of causal inference methods; * Discussions on the possibility of making causal predictions in a highly confounded and cyclic world; * Occam’s Razor in causal inference (methodological justifications for oversimplified models). Submission ========= There are two possible submission formats. The authors can either submit: - a one-page abstract (including references) describing recently published work, or - a full-length paper, limited to 9 pages (including figures and text, excluding references). If a contribution consists of material that has been published elsewhere earlier on, the authors must choose the one-page abstract format
and cite the original work. Our submission deadline comes a few days after the UAI author notification deadline. We encourage co-submission of papers that have been
submitted to the main UAI 2015 conference. Please indicate if your paper was also submitted
to UAI. If accepted for UAI, the paper would be published in UAI proceedings, but we will also invite the authors to give a poster presentation at the workshop. Style files for full papers can be found on the UAI website:
http://auai.org/uai2015/ Abstracts and papers must be submitted via e-mail before the deadline (May 15) to: Contributions will be peer reviewed by at least two reviewers. Accepted
papers will be presented either as oral presentation or in a poster session. Proceedings ========== After the workshop we will publish proceedings via the web-page: http://www.homepages.ucl.ac.uk/~ucgtrbd/uai2015_causal/ Authors of accepted papers can choose to contribute the submitted manuscript (i.e., the full paper or the abstract). They can also choose
not to contribute to the proceedings. Oral presentation slides will also be disseminated via the workshop web-page. Important Dates ============== * May 15 2015: Submission deadline for abstracts and full papers * June 12 2015: Author notification * July 16 2015: Workshop (following the UAI 2015
main conference, July 12-15) Organizers ========= Ricardo Silva (Chair), University College London Tom Claassen, Radboud University Nijmegen Robin Evans, University of Oxford Jonas Peters, Max Planck Institute for Intelligent Systems Ilya Shpitser, University of Southampton |
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