News

📌 New paper online! You can now learn minimum volume conditional sets with a large range of geometrical priors. This can allows you to estimate highest density regions without learning conditional densities!
May 7, 2026

📌 New paper online! We merged [the amazing work of my collegues](https://arxiv.org/abs/2501.19195) with our [previous paper](https://arxiv.org/abs/2512.11779") to calculate $L_p$ calibration error, such as $\mathbb{E}_X[|f(X)-\mathbb{E}[Y|f(X)]|]$ (and also works in multivariate.)
Febuary 27, 2026

📌 New paper online! Since conditional coverage is the central objective in conformal prediction, reliable metrics are needed to assess conditional miscoverage. By recasting conditional coverage as a classification problem, we develop new theoretical tools for evaluating conditional miscoverage.
December 12, 2025

📌 My second paper is now available! We learn a local covariance estimation in multivariate regression to generalize the standardized residuals. It improves conditional coverage, allows to deal with missing outputs and fancier transformation of the outputs.
July 28, 2025

📌 My first paper is now available! We introduce a new loss to minimize the size of coverage-guaranteed sets in multivariate regression. We also tackle the NP-hard problem of finding minimum-volume enclosing ellipsoids using optimization strategies.
March 24, 2025

📌 I started my PhD under the supervision of Michael I. Jordan and Francis Bach!
September 1, 2024

📌 I started my internship under the supervision of Michael I. Jordan and Francis Bach! I will work on uncertainty quantification.
April 2, 2024

📌 I published a new video on the HOO algorithm! I want to popularize DeepMind's AlphaZero algorithm in this series of videos.
July 31, 2023

📌 I published my first video on bandits!
July 5, 2023

📌 I am starting a new internship at the Cluster Inc laboratory in Tokyo! I will work on Reinforcement Learning.
March 28, 2023

📌 Finished second on an hackathon from QuantumBlack!
October 9, 2022