Melis İlayda Bal
@melisilaydabal.bsky.social
PhD student @Max Planck Institute for Intelligent Systems | working on optimization & game-theoretic frameworks for robust and efficient ML | organizer @twiml.bsky.social | https://melisilaydabal.github.io
Pinned
🌺Excited to share our #ICLR2025 paper: 𝗔𝗱𝘃𝗲𝗿𝘀𝗮𝗿𝗶𝗮𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗟𝗮𝗯𝗲𝗹 𝗣𝗼𝗶𝘀𝗼𝗻𝗶𝗻𝗴 𝗔𝘁𝘁𝗮𝗰𝗸𝘀!
Training ML models on public data isn’t all sunshine and rainbows—especially when adversaries sneak in poisoned labels to mess with your model. But fear not! In our work, we introduce 𝗙𝗟𝗢𝗥𝗔𝗟🌺...
Training ML models on public data isn’t all sunshine and rainbows—especially when adversaries sneak in poisoned labels to mess with your model. But fear not! In our work, we introduce 𝗙𝗟𝗢𝗥𝗔𝗟🌺...
Reposted by Melis İlayda Bal
News!⚡
We’re pleased to announce a new Call for Contributed Talks to bring novel and diverse viewpoints to EWRL2025.
Early-career researchers are especially encouraged to submit proposals and share their work with the community.
Full details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
We’re pleased to announce a new Call for Contributed Talks to bring novel and diverse viewpoints to EWRL2025.
Early-career researchers are especially encouraged to submit proposals and share their work with the community.
Full details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
May 23, 2025 at 8:04 AM
News!⚡
We’re pleased to announce a new Call for Contributed Talks to bring novel and diverse viewpoints to EWRL2025.
Early-career researchers are especially encouraged to submit proposals and share their work with the community.
Full details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
We’re pleased to announce a new Call for Contributed Talks to bring novel and diverse viewpoints to EWRL2025.
Early-career researchers are especially encouraged to submit proposals and share their work with the community.
Full details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
Reposted by Melis İlayda Bal
Working on something cool in RL? Submit it to EWRL!
We’ll be opening submissions soon — and this year we’re introducing a fast track for papers already accepted at other conferences! 🚀
Check out the full Call for Papers on the website: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
We’ll be opening submissions soon — and this year we’re introducing a fast track for papers already accepted at other conferences! 🚀
Check out the full Call for Papers on the website: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
EWRL18
euro-workshop-on-reinforcement-learning.github.io
April 14, 2025 at 12:04 PM
Working on something cool in RL? Submit it to EWRL!
We’ll be opening submissions soon — and this year we’re introducing a fast track for papers already accepted at other conferences! 🚀
Check out the full Call for Papers on the website: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
We’ll be opening submissions soon — and this year we’re introducing a fast track for papers already accepted at other conferences! 🚀
Check out the full Call for Papers on the website: euro-workshop-on-reinforcement-learning.github.io/ewrl18/
Reposted by Melis İlayda Bal
Mark your calendars, EWRL is coming to Tübingen! 📅
When? September 17-19, 2025.
More news to come soon, stay tuned!
When? September 17-19, 2025.
More news to come soon, stay tuned!
April 8, 2025 at 8:33 AM
Mark your calendars, EWRL is coming to Tübingen! 📅
When? September 17-19, 2025.
More news to come soon, stay tuned!
When? September 17-19, 2025.
More news to come soon, stay tuned!
🌺Excited to share our #ICLR2025 paper: 𝗔𝗱𝘃𝗲𝗿𝘀𝗮𝗿𝗶𝗮𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗟𝗮𝗯𝗲𝗹 𝗣𝗼𝗶𝘀𝗼𝗻𝗶𝗻𝗴 𝗔𝘁𝘁𝗮𝗰𝗸𝘀!
Training ML models on public data isn’t all sunshine and rainbows—especially when adversaries sneak in poisoned labels to mess with your model. But fear not! In our work, we introduce 𝗙𝗟𝗢𝗥𝗔𝗟🌺...
Training ML models on public data isn’t all sunshine and rainbows—especially when adversaries sneak in poisoned labels to mess with your model. But fear not! In our work, we introduce 𝗙𝗟𝗢𝗥𝗔𝗟🌺...
February 28, 2025 at 9:56 PM
🌺Excited to share our #ICLR2025 paper: 𝗔𝗱𝘃𝗲𝗿𝘀𝗮𝗿𝗶𝗮𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗟𝗮𝗯𝗲𝗹 𝗣𝗼𝗶𝘀𝗼𝗻𝗶𝗻𝗴 𝗔𝘁𝘁𝗮𝗰𝗸𝘀!
Training ML models on public data isn’t all sunshine and rainbows—especially when adversaries sneak in poisoned labels to mess with your model. But fear not! In our work, we introduce 𝗙𝗟𝗢𝗥𝗔𝗟🌺...
Training ML models on public data isn’t all sunshine and rainbows—especially when adversaries sneak in poisoned labels to mess with your model. But fear not! In our work, we introduce 𝗙𝗟𝗢𝗥𝗔𝗟🌺...