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I'm looking forward to presenting our work on "Improvement-Focused Causal Recourse (ICR)" at #AAAI23 today. Come by in 145A at 3:45 pm or come to poster #201 at 7 pm tonight!
arxiv.org/abs/2210.15709
arxiv.org/abs/2210.15709
Gunnar König
@gcskoenig
526 Following 182 Followers 64 Posts
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Are you a student who cares about the long-term impact of AI on our societies and would like to help shape the field? Then consider applying for the #DataScience for #SocialGood summer school. Closing date: Jan 31 @datascifellows @turinginst @sldslmu
Together with @warwickuni we’re organising the @DSSGxUK Summer Projects 2021 fellowship. If you’re an undergrad or postgrad student with a passion for #DataScience and #SocialGood, apply NOW. bit.ly/DSSGx2021 Closing date: Jan. 31 @datascifellows @turinginst @sldslmuView quoted post on X
Looking forward to present our paper on "Relative Feature Importance" at ICPR today. You're invited to join the Q&A or the poster session at 4pm CET. The paper can be accessed via arxiv.org/abs/2007.08283
arxiv.org Relative Feature Importance Interpretable Machine Learning (IML) methods are used to gain insight into the relevance of a feature of interest for the performance of a model. Commonly used IML methods differ in whether they... Great work by my colleagues @SusanneDndl @ChristophMolnar Martin Binder and @BBischl !
Our paper "Multi-Objective Counterfactual Explanations" got accepted at the PPSN 2020 conference 🎉🎉🎉View quoted post on X
PPSN: ppsn2020.liacs.leidenuniv.nl
arxiv: arxiv.org/abs/2004.11165
Work by @SusanneDndl , Martin Binder, @BBischl and me.
7 pitfalls that you should be aware of! :) It was fun working on this project together.
Our new paper "Pitfalls to Avoid when Interpreting Machine Learning Models" was accepted at the XXAI ICML workshop 🥳View quoted post on X
arxiv.org/abs/2007.04131
interpretable-ml.org/icml2020worksh…