Top Tweets for #AlgorithmicRecourse
π’ New paper published in MAKE
π Desirability Rating-Based Counterfactual (DeRaC) Framework for Complex Multi-Output Classification Problems
π Read more: https://t.co/UlfDN0gdiF
#CounterfactualExplanations #ExplainableAI #XAI #AlgorithmicRecourse
If youβre still at #NeurIPS2023 and curious about #causal #explainable #AI, drop by our poster at the XAI in Action Workshop at 4:30pm π
https://t.co/QpPw1QkMiq
Also generally happy to chat about #algorithmicRecourse, #conceptLearning, and/or #humanAI #collaboration π€πͺπΌπ¦Ύπ§
1/7 π¨Excited to share our #ICML2023 paper w/ @krikamol, @skornblith, @bschoelkopf, @_beenkim.
We explore the link between model predictions (Y) & their explanations (E) using the Potential Outcomes framework. https://t.co/3kI0KeVhGV π§΅ππΌ
ποΈAloha from #ICML2023ποΈ Looking forward to catching up with folks π
If youβre around and interested in #causal #explainable #AI, #algorithmicRecourse, and/or #humanAI #collaboration, hit me up! π€πͺπΌπ¦Ύπ§
Also, come by our poster on Thursday morning π
https://t.co/9XbOIJeVZh
1/7 π¨Excited to share our #ICML2023 paper w/ @krikamol, @skornblith, @bschoelkopf, @_beenkim.
We explore the link between model predictions (Y) & their explanations (E) using the Potential Outcomes framework. https://t.co/3kI0KeVhGV π§΅ππΌ
New #SpecialIssue "Machine Learning and Causal Inference", edited by Dr. Lu Zhang, is open for submission! https://t.co/1PshGDLtn9
#causalstructurediscovery
#causaleffectestimation
#causalrepresentationlearning
#causalgenerativemodels
#algorithmicrecourse
#transferlearning
Incredibly proud of @rdolmedo_ with whom I had the honour of working on formulating the #robustness of #algorithmicrecourse, now at #ICML2022! π
Ricardo joined me at the @MPI_IS last year, and under the support of @bschoelkopf, pulled off this fascinating project.
Detailsππ»
Excited to present today at ICML my very first paper!
To warrant trust, algorithmic recourse recommendations should be robust to reasonably small changes to the circumstances of the individual seeking recourse.
But how can we generate robust recourse?
π§΅π
If you have missed our last event, you can find the recordings and the slides of the Algorithmic Recourse and Explainable Counterfactual Interactions talk by @giovanni_detoni hereπ https://t.co/4NhzV6atCQ or
https://t.co/5r2mNb5KSU
#algorithmicrecourse #machinelearning
The second session of the SML Journal Club is around the corner!π₯@giovanni_detoni will talk about #counterfactualexplanations and #algorithmicrecourse in #machinelearning.
Online on Friday 25th, 2022 at 16:00 CET!
https://t.co/j3GWVEpF0B
@FBK_research @UniTrento_DISI
What a blast!π₯Thank you @ema_marconato for the wonderful introduction to #causalrepresentationlearning! See you at the next SML journal club session, on the 25th of February, in which we will talk about #algorithmicrecourse and #counterfactualinterventions!
Join us now with Isabel Valera to explore #AlgorithmicRecourse from theory to practice | #AIforGood Discovery #TrustworthyAI https://t.co/fSRTKoZFtw
Come down to the poster room at @icmlconf to talk to @Lara_Kirfel and I about counterfactual explanations of automated decisions!
Very excited to announce the #AlgorithmicRecourse workshop at @icmlconf 2021! ππ
Please see the workshop website for the fantastic line of speakers and panelists. Short (4-page) submissions are also very welcome. Looking forward to seeing many of you there! π
Super excited to co-organize the ICML Workshop on Algorithmic Recourse (https://t.co/GKuGg52okP) with @hima_lakkaraju @stratis_
@__alucic @heikalkhan @IValeraM. Check out our terrific set of invited speakers and panelists, and consider submitting your latest work by June 18!
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