{"id":655,"date":"2026-01-20T21:25:34","date_gmt":"2026-01-20T21:25:34","guid":{"rendered":"https:\/\/www.euro-online.org\/websites\/dso\/?post_type=tribe_events&#038;p=655"},"modified":"2026-01-20T21:25:34","modified_gmt":"2026-01-20T21:25:34","slug":"the-fifth-dso-workshop-at-ijcai-2022","status":"publish","type":"tribe_events","link":"https:\/\/www.euro-online.org\/websites\/dso\/event\/the-fifth-dso-workshop-at-ijcai-2022\/","title":{"rendered":"The fifth DSO Workshop at IJCAI 2022"},"content":{"rendered":"<div class=\"CjVfdc\">Keynote speaker: Diederik M. Roijers (HU University of Applied Science Utrecht &amp; Vrije Universiteit Brussel) &#8220;On the necessity of using multiple objectives in future AI&#8221;<\/div>\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">The workshop co-chairs are:<\/p>\n<ul>\n<li class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Tias Guns (KU Leuven, BE) &lt;tias.guns@kuleuven.be&gt;<\/li>\n<li class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Michele Lombardi (University of Bologna, IT) &lt;michele.lombardi2@unibo.it&gt;<\/li>\n<li class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Neil Yorke-Smith (TU Delft, NL) &lt;n.yorke-smith@tudelft.nl&gt;<\/li>\n<li class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Yingqian Zhang (TU Eindhoven, NL) &lt;yqzhang@tue.nl&gt;<\/li>\n<\/ul>\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">The aim of the workshop is to organize an open discussion and exchange of ideas by researchers from data science, constraint optimization and operations research in order to identify how techniques from these fields can benefit each other. The workshop invites submissions that include but are not limited to the following topics:<\/p>\n<ul class=\"n8H08c UVNKR\">\n<li class=\"TYR86d zfr3Q\" dir=\"ltr\">\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Applying data science and machine learning methods to solve combinatorial optimization problems, such as algorithm selection based on historical data, speeding up or driving the search process using machine learning including (deep) reinforcement learning, neural combinatorial optimization, and handling uncertainties of prediction models for decision-making.<\/p>\n<\/li>\n<li class=\"TYR86d zfr3Q\" dir=\"ltr\">\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Using optimization algorithms for the development of machine learning models: such as formulating the problem of learning predictive models as MIP, constraint programming or boolean satisfiability (SAT). Tuning machine learning models using search algorithms and meta-heuristics. Learning constraint models from empirical data.<\/p>\n<\/li>\n<li class=\"TYR86d zfr3Q\" dir=\"ltr\">\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Embedding\/encoding methods: combining machine learning with combinatorial optimization, model transformations and solver selection, reasoning over machine learning models. Introducing constraints in (hybrid) machine learning models as well as &#8216;predict and optimize&#8217; frameworks.<\/p>\n<\/li>\n<li class=\"TYR86d zfr3Q\" dir=\"ltr\">\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Formal analysis of machine learning models via optimization or constraint satisfaction techniques: safety checking and verification via SMT or MIP, generation of adversarial examples via similar combinatorial techniques.<\/p>\n<\/li>\n<li class=\"TYR86d zfr3Q\" dir=\"ltr\">\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Computing explanations for ML model via techniques developed for optimization or constraint reasoning systems.<\/p>\n<\/li>\n<li class=\"TYR86d zfr3Q\" dir=\"ltr\">\n<p class=\"CDt4Ke zfr3Q\" dir=\"ltr\">Applications of integrations of techniques of data science and optimization.<\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Keynote speaker: Diederik M. Roijers (HU University of Applied Science Utrecht &amp; Vrije Universiteit Brussel) &#8220;On the necessity of using multiple objectives in future AI&#8221; The workshop co-chairs are: Tias [&hellip;]<\/p>\n","protected":false},"author":34,"featured_media":0,"template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[],"class_list":["post-655","tribe_events","type-tribe_events","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events\/655"}],"collection":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/users\/34"}],"version-history":[{"count":1,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events\/655\/revisions"}],"predecessor-version":[{"id":656,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events\/655\/revisions\/656"}],"wp:attachment":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/media?parent=655"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tags?post=655"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events_cat?post=655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}