Paper 12/25 From Search to Sampling: Generative Models for Robust Algorithmic Recourse 💡➡️ GenRe: A generative approach for algorithmic recourse. Jointly trains proximity, plausibility & validity objectives, outperforming baselines with forward sampling. Congrats Prateek Garg (linkedin.com/in/prateekgg/), Lokesh Nagalapatti, Sunita Sarawagi! 📄: openreview.net/pdf/c6c8ec06c… #AlgorithmicRecourse #Fairness #GenerativeModels

We are pleased to share that the paper "HARE: Human-in-the-Loop Algorithmic Recourse" by Sai Srinivas Kancheti, Rahul Vigneswaran, Bamdev Mishra, and Prof. Vineeth N. Balasubramanian has been accepted at TMLR (Transactions on Machine Learning Research) 2025. 🔹 Paper Link: openreview.net/forum?id=56EB… 🔹 Code Repository: github.com/rahulvigneswaran/… This work introduces HARE (Human-in-the-loop Algorithmic Recourse), a method that actively incorporates human feedback to generate personalized, actionable, and realistic recourse strategies—moving beyond conventional counterfactual explanations. Authors: Kancheti Sai Srinivas (CSE, IIT Hyderabad) Rahul Vigneswaran K (CSE, IIT Hyderabad) Bamdev Mishra (Microsoft India) Prof. Vineeth N Balasubramanian (CSE, IIT Hyderabad) We congratulate the authors on this achievement and look forward to the impact of their work in the field of Fair AI, Human-in-the-loop Learning, and Actionable Machine Learning. #IITHyderabad #CSEIITH #TMLR2025 #MachineLearning #AI #AlgorithmicRecourse #FairAI #HumanInTheLoop

If you’re still at #NeurIPS2023 and curious about #causal #explainable #AI, drop by our poster at the XAI in Action Workshop at 4:30pm 📊 xai-in-action.github.io/#sch… Also generally happy to chat about #algorithmicRecourse, #conceptLearning, and/or #humanAI #collaboration 🤖💪🏼🦾🧠

🏝️Aloha from #ICML2023🏝️ Looking forward to catching up with folks 🙃 If you’re around and interested in #causal #explainable #AI, #algorithmicRecourse, and/or #humanAI #collaboration, hit me up! 🤖💪🏼🦾🧠 Also, come by our poster on Thursday morning 📊 icml.cc/virtual/2023/session…

Incredibly proud of @rdolmedo_ with whom I had the honour of working on formulating the #robustness of #algorithmicrecourse, now at #ICML2022! 🎉 Ricardo joined me at the @MPI_IS last year, and under the support of @bschoelkopf, pulled off this fascinating project. Details👇🏻

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 here👉 sml.disi.unitn.it/journal.ht… or youtube.com/watch?v=ITo40HZD… #algorithmicrecourse #machinelearning

The second session of the SML Journal Club is around the corner!🔥@giovanni_detoni will talk about #counterfactualexplanations and #algorithmicrecourse in #machinelearning. Online on Friday 25th, 2022 at 16:00 CET! sml.disi.unitn.it/journal.ht… @FBK_research @UniTrento_DISI

What a blast!🔥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 x.com/i/broadcasts/1mnGedDWO…

What do people make of counterfactuals as explanations?! Come check out or work at the intersection of #compsci and #psych at #ICML2021 #icml #icmlwork #AlgorithmicRecourse

Very excited to announce the #AlgorithmicRecourse workshop at @icmlconf 2021! 🎉🎉 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! 🙂