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Daniel Csillag

@dccsillag.xyz

Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp. dccsillag.xyz

62 Posts877 Follower378 Folgt
Daniel Csillag@dccsillag.xyz · 2y ago

Happy to announce that our paper, 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗖𝗼𝗻𝗳𝗼𝗿𝗺𝗮𝗹 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻, is now accepted to AISTATS 2025! Is your uncertainty quantification robust to people trying to break it? Ours is :)

Front page of our paper, 'Strategic Conformal Prediction'. Abstract: When a machine learning model is deployed, its predictions can alter its environment, as better informed agents strategize to suit their own interests. With such alterations in mind, existing approaches to uncertainty quantification break. In this work we propose a new framework, Strategic Conformal Prediction, which is capable of robust uncertainty quantification in such a setting. Strategic Conformal Prediction is backed by a series of theoretical guarantees spanning marginal coverage, training-conditional coverage, tightness and robustness to misspecification that hold in a distribution-free manner. Experimental analysis further validates our method, showing its remarkable effectiveness in face of arbitrary strategic alterations, whereas other methods break.
Omar Rivasplata@omarrivasplata.bsky.social · 2y ago

📢 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...

Learning theory and methods for novel types of distributional shifts. at The University of Manchester on FindAPhD.com

PhD Project - Learning theory and methods for novel types of distributional shifts. at The University of Manchester, listed on FindAPhD.com

findaphd.com

Daniel Csillag@dccsillag.xyz · 2y ago

@johndcook.bsky.social I just read your recent 'Categorical Data Analysis' post www.johndcook.com/blog/2018/04.... As a ML&stats person who tried to incorporate category theory in my work, I'd say the problem is that it just doesn't look like CT adds much. Whenever I try to incorporate it, ..

Categorical Data Analysis

Categorical data analysis could mean a couple different things. One is analyzing data that falls into unordered categories (e.g. red, green, and blue) rather than numerical values (e.g. height in cent...

johndcook.com

Towaki Takikawa@yongyuanxi.bsky.social · 2y ago

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.

Martin Trapp@trappmartin.eurosky.social · 2y ago

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/

Seminar on Advances in Probabilistic Machine Learning

This seminar series aims to provide a platform for young researchers (PhD student or post-doc level) to give invited talks about their research, intending to have a diverse set of talks & speakers on ...

aaltoml.github.io

Daniel Csillag@dccsillag.xyz · 2y ago

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

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Daniel Csillag@dccsillag.xyz · 2y ago

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.)

Daniel Csillag@dccsillag.xyz · 2y ago

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.

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