Nicolò Felicioni
@nicolofelicioni
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PhD student @ Politecnico di Milano | Machine Learning, AI Agents, Large Language Models, Recommendation Systems | Past: @SpotifyResearch, @AmazonScience
Joined June 2022
RT @Maurizio_fd: Happy to be co-organizer of the Workshop on Learning and Evaluating Recommendations with Impressions, that will be held at…
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RT @SebastienBubeck: New video! I discuss the "Physics of AI": how controlled experiments and toy mathematical models could help us make pr…
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Now that’s reasonable
Clarification concerning Large Language Models in the Ethics Policy in the #ICML2023 Call for Papers:
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Finally I’m at #NeurIPS2022 ! HMU if you want to talk about Off-Policy Evaluation/Learning, Causality, Deep Learning, or you want to know how I almost missed my flight in Charlotte 😅
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Now available on OpenReview!
I am thrilled to announce that our paper "Off-Policy Evaluation with Deficient Support Using Side Information" has been accepted at #NeurIPS2022 !🥳 @Maurizio_fd M. Restelli @crmpla67
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Can't wait!
REVEAL is over, we continue tomorrow as CONSEQUENCES!🗼🌄 Don't miss our tutorial and keynotes given by: - @usait0en recently listed in Forbes - JAPAN 30 under 30 - @LihongLi20 Senior Principal Scientist at Amazon - Guido Imbens - co-awarded the Nobel Prize in Economics in 2021
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We investigate the Off-Policy Evaluation task with contextual bandit feedback when the full support assumption is violated, and we propose estimators that exploit side information about the actions to reduce the bias
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