Corentin Pla
@corentin-pla.bsky.social
PhD student @Criteo-INRIA-CREST | RL, Privacy, Learning augmented algorithms
Reposted by Corentin Pla
We sponsored #ALT2025 this year and had a strong presence at the conference, contributing and presenting research that showcased our commitment to innovation. One of our papers received an Outstanding Paper Award 🎉
Read the full recap to know more.
techblog.criteo.com/our-experien...
Read the full recap to know more.
techblog.criteo.com/our-experien...
Our Experience at ALT 2025
A Journey into Algorithmic Learning Theory
techblog.criteo.com
May 7, 2025 at 9:17 AM
We sponsored #ALT2025 this year and had a strong presence at the conference, contributing and presenting research that showcased our commitment to innovation. One of our papers received an Outstanding Paper Award 🎉
Read the full recap to know more.
techblog.criteo.com/our-experien...
Read the full recap to know more.
techblog.criteo.com/our-experien...
Reposted by Corentin Pla
Applications are 📣OPEN📣 for #PAISS2025 THE AI summer school in #Grenoble 1-5 Sept! Speakers so far @yann-lecun.bsky.social @dimadamen.bsky.social @arthurgretton.bsky.social @gabrielpeyre.bsky.social @science4all.org A. Cristia J. Revaud M. Caron J. Carpentier M. Vladimirova ➡️ paiss.inria.fr
April 11, 2025 at 1:44 PM
Applications are 📣OPEN📣 for #PAISS2025 THE AI summer school in #Grenoble 1-5 Sept! Speakers so far @yann-lecun.bsky.social @dimadamen.bsky.social @arthurgretton.bsky.social @gabrielpeyre.bsky.social @science4all.org A. Cristia J. Revaud M. Caron J. Carpentier M. Vladimirova ➡️ paiss.inria.fr
Reposted by Corentin Pla
Nice to see that more people are joining Bluesky. Let me advertize the work of @corentin-pla.bsky.social on mean estimation under user-level local differential privacy. In this setting, users can have more than one data sample.
January 31, 2025 at 7:06 AM
Nice to see that more people are joining Bluesky. Let me advertize the work of @corentin-pla.bsky.social on mean estimation under user-level local differential privacy. In this setting, users can have more than one data sample.