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Join us tomorrow for an engaging webinar on Algorithms with Untrusted Predictions with Ziyad Benomar, a PhD student at ENSAE, France, as he will be sharing his insights and findings on decision-making under uncertainty. In this era of machine learning, we often have predictions for unknown parameters in decision-making problems. But what if these predictions are inaccurate or even adversarial? During this webinar, Ziyad will introduce the "learning-augmented algorithms" paradigm and present his findings of his latest paper accepted at #ICML on non-clairvoyant scheduling to address this challenge. 📅 Save the date: Date: Wednesday, July 10th Time: 8PM (GMT+1), 9 PM (CET). 🔗Link to the paper: https://lnkd.in/esqxy8d4 Please take a minute to RSVP to receive event Zoom link and mark your calendar, 📝 link to register: https://lnkd.in/ei4b2bAx We're excited to have you join us for this illuminating session!

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EL HATTAB LOUBNA

Chargée d'études qualitatives chez Groupe Immersion | Doctorat en recherche en marketing

5mo
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