Daniel Csillag

Off to ICML soon! Excited to talk all things ML&stats: UQ, e-values, safety, optimization, etc If you'd like to meet, shoot me an email!

It's good to finally have a good reference for this stuff! Kudos to the authors. arxiv.org/abs/2501.18374

I'll be presenting Strategic Conformal Prediction at AISTATS next week. Looking forward to chatting about all things uncertainty quantification!

We're excited to announce the ICML 2025 call for workshops! The CFP and submission advice can be found at: icml.cc/Conferences/.... The deadline is Feb 10. Submit some creative proposals!

The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25! The CfP is out 👉 www.auai.org/uai2025/call... 🚨 Feb 10: Paper submission 🗣️ Apr 3-10: rebuttal period 🎉/💀 May 6: Author notification #UAI2025 #ML #stats #learning #reasoning #uncertainty

Ezpz #rstats

📢 Outstanding PhD student wanted! 🤓 The successful candidate will be based at The University of Manchester Dept. of CS ✨ to work on learning theory and methods for novel types of distributional shifts, co-supervised with @samikaski.bsky.social ⏳ DL 31.Jan.2025. www.findaphd.com/phds/project...

Everyone should know how to do binary search and bracketing

Off to NeurIPS soon!

go.bsky.app/7U9DDTv

Many think Rust is primarily about memory safety, but the real reason to use Rust is developer productivity (for C++-like system programming) from having a sane package manager and type system.

For those who don’t know yet, I am organising an online talk series together with Arno Solin on “Advances in Probabilistic Machine Learning (APML)”. It’s free for everyone to join and support early career researchers! You can register and check out the schedule here: aaltoml.github.io/apml/

Anthropic published a paper telling people to use confidence intervals for evals. I now await for their next paper, which will explain multiple comparisons to the LLM people

Daniel Csillag, Claudio Jos\'e Struchiner, Guilherme Tegoni Goedert Strategic Conformal Prediction https://arxiv.org/abs/2411.01596

NeurIPS registrations following a *randomized lottery* is absurd to me. Especially once you consider all the logistics involved with attendance (e.g., flights, stay, etc.)

Ran my text through ChatGPT arguing why oversampling usually doesn’t make sense, and it flipped my argument to support oversampling instead. A reminder that AI often defaults to consensus—even when it's wrong. Always double-check! #AI #MachineLearning #Statistics

Useful fact: you can bound the gap between any two probability distributions using f-divergences. A rather nice case is with the Pearson chi-squared f-divergence.