🌟I am excited to share that the work 'Intersectional Fair Ranking via Subgroup Divergence' was accepted at the Journal Track of ECML PKDD!

Joint authored with the great Francesco Bonchi! 🚀

See you in Vilnius! 🇱🇹🙃

...for many explainers, it's tricky to get this match. Maybe this is why ML algorithms on graphs are still rarely explained, and results still feel black-boxy.🔮

🥂 Tnx to the great team: Alan Perotti, Francesco Bonchi paolo b André Panisson

🔖Paper: openreview.net/pdf?id=HSQTv3R…

🔴 New paper on Accepted papers at TMLR!

ML algorithms are everywhere – but often as black boxes obfuscating decisions. Hence explainers: you give them a model, they tell you what it's grounding its decisions on. But how to avoid explainers becoming black boxes? Who watches the watchmen? (1/3)

Gabriele D'Acunto on Mulitiscale Causal Struct. Learning for Brain Dynamics

CLeaR-Conference on Causal Learning and Reasoning #causality #causaltwitter

🏆 Another exciting news! We announce the second KDD Cup 2024 challenge!
Meta KDD Cup 2024 - CRAG: Comprehensive RAG Benchmark
Let the games begin! 🌟🏃‍♂️

A huge thanks to Meta for making this happen!

aicrowd.com/challenges/met…

📢Attention all experts and enthusiasts! 🚀
Don't miss out on the chance to share your knowledge and skills at #KDD2024 !
Submit your hands-on tutorial proposal! Time's ticking! ⏳

📆 Submission deadline: March 29th

kdd2024.kdd.org/call-for-hands…

📢'Hyper-distance Oracles in Hypergraphs' accepted for publication in The VLDB Journal🚨 Great collaboration with the amazing Giulia Preti and Gianmarco De Francisci Morales @gdfm.bsky.social arxiv.org/pdf/2306.02696…

CENTAI (Center for AI) is a proud member of CEDAR EU project

📣 Doing computational research on how we form opinions on climate change? How does climate awareness spread? When does communication bring change?

Have some early results to present, or published work to discuss?

Join our NO CAPS workshop at ICWSM!

👉 no-caps.github.io/2024/

📢Great news🥳 our paper 'A Survey on the Densest Subgraph Problem and Its Variants' to be published on ACM Computing Surveys.

🚀 Calling all PhD students in Data Science / Machine Learning! 🎓 Don't miss out on the opportunity to submit your work-in-progress to the PhD Consortium!

📅 Submission deadline: May 25th.

kdd2024.kdd.org/call-for-phd-c…

Today is the day! 📝✨ Time to submit your papers at #KDD2024 !

📅 Paper Deadline: TODAY! Feb 8th, 2024, AoE

kdd2024.kdd.org

Happy to share that our paper “Navigating Multidimensional Ideologies with Reddit’s Political Compass: Economic Conflict and Social Affinity” is accepted at The Web Conference ! Thanks to our great team: ecolacrai, Gianmarco De Francisci Morales @gdfm.bsky.social, Michele Starnini. #WebConf2024 CENTAI (Center for AI)

I probably forgot to mention that together with Ricardo Baeza-Yates we're the General Chairs of #KDD2024 to be held next August in beautiful Barcelona! Really excited to be organizing such a great event and looking forward to meeting you all in Barcelona kdd2024.kdd.org

Delighted to share that our paper 'Local Centrality Minimization with Quality Guarantees' has been accepted to Graph Algorithms and Modeling for the Web Track The Web Conference 2024 🎉 Grateful to the amazing collaborators: Lorenzo Severini at UniCredit and Francesco Bonchi at CENTAI!

📢 Our paper 'Best-of-Both-Worlds Algorithms for Linear Contextual Bandits,' first-authored by
Yuko Kuroki, with Alberto Rumi, Taira Tsuchiya, led by
Nicolò Cesa-Bianchi (and myself), has been accepted for oral presentation at #AISTATS2024 ! arxiv.org/abs/2312.15433 💡 #MachineLearning

🎉 Exciting news! Our paper 'Sum-max Submodular Bandits,' a collaborative project coauthored by Stephen Pasteris (not on X), Alberto Rumi, and Nicolò Cesa-Bianchi, has been accepted for poster presentation at #AISTATS2024 !

📄 Preprint: arxiv.org/abs/2311.05975

#MachineLearning

Latest out from CENTAI's team at #CLeaR 2024 cclear.cc/2024 Causal Learning and Reasoning Conference🧠“Extracting the Multiscale Causal Backbone of Brain Dynamics” #MachineLearning #Neuroscience #CausalLearning

Great news! 📣 new paper “Extracting the Multiscale Causal Backbone of Brain Dynamics” a great collaboration under the leadership of the amazing Gabriele D’Acunto (not on X) + Gianmarco De Francisci Morales @gdfm.bsky.social & Giovanni Petri accepted for oral presentation at #CLeaR 2024 scholar.google.com/citations?view…

Are you working on data mining and interested in fairness or even diversity? Check out the promotional video of our #KDD2023 paper, which may be of interest to you. I can’t wait for the conference!
youtu.be/zf0PxtbVHYE