Luben Miguel

Phd candidate - (UFSCar/ICMC). Lost between (statistical) machine learning and (both types of) statistical inference.

[Rafael Izbicki @rizbicki]

Can conformal prediction help with inference on statistical parameters?

In our new paper, 𝗖𝗼𝗻𝗳𝗼𝗿𝗺𝗮𝗹 𝗖𝗮𝗹𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗦𝗲𝘁𝘀, published on @TmlrOrg, we extend conformal ideas beyond prediction and introduce TRUST +

[Rafael Izbicki @rizbicki]

Happy to share our paper "Epistemic Uncertainty in Conformal Scores: A Unified Approach" is now on PMLR! 🎉

Selected for oral presentation at UAI 2025!

Big thanks to @kuben45, Vagner & Thiago for the partnership!

🔗https://t.co/5ZnJVjzSpr

#ML #AI #PMLR #ConformalPrediction

[uai2026 @UncertaintyInAI]

oral presentations from session 2, on uncertainty

https://t.co/2kyIe9VC2i

[Rafael Izbicki @rizbicki]

🚨 Thrilled to share one of my favorite papers:
REACT to NHST: Sensible conclusions for meaningful hypotheses — now out in The Quantitative Methods for Psychology! With Luben Cabezas, @FernandoColug, Rodrigo Lassance, @altayals & Rafael Stern.

#Statistics #DataScience

1/n

[Luben Miguel @kuben45]

5/
EPICSCORE is accurate, flexible, and broadly applicable 💥
📄 Paper: https://t.co/egdq9RxBlK
#AI #ML #UncertaintyQuantification #ConformalPrediction #BayesianMethods

[Luben Miguel @kuben45]

🚨 Paper accepted for oral presentation at #UAI2025! 🎉
EPICSCORE: A Unified Framework for Incorporating Epistemic Uncertainty in Conformal Scores
Here’s why it matters 🧵
(with amazing co-authors: Vagner S. Santos, Thiago R. Ramos, @rizbicki)

[Luben Miguel @kuben45]

4/

Strong results across tasks 📈
EPICSCORE adapts well to diverse settings—from regression to image classification—while improving uncertainty estimates 🔍✅

[Stat.ML Papers @StatMLPapers]

Distribution-Free Calibration of Statistical Confidence Sets https://t.co/DD0jKjYMGf

[Rafael Izbicki @rizbicki]

Happy to share our work, "Adding Imprecision to Hypotheses: A Bayesian Framework for Testing Practical Significance", with R. Lassance and R. Stern!

We introduce PROTEST, a method for testing practical significance in univariate & high-dimensional data. +

[Rafael Izbicki @rizbicki]

Our paper "Regression Trees for Fast and Adaptive Prediction Intervals," co-authored with @kuben45, @mpotto1 and @rbstern, is now published in Information Sciences! 🎉

We introduce Locart and Loforest to calibrate prediction intervals for regression with coverage guarantees. +

[Rob Calver @RobCalver5]

In celebration of its republication by @CRC_MathStats, we are giving away a signed copy of this classic textbook by Casella and Berger. Just like, repost, and follow me by Thursday 15th August to be in with a chance of winning! Enjoy and learn! #Statistics #DataScience #JSM2024

[Rafael Izbicki @rizbicki]

It was great to be part of this work with the great @kuben45 Mateus P. Otto and @rbs

[Luben Miguel @kuben45]

@maria__cuellar @rizbicki @FernandoColug @rflassance @altayals @rbstern Yep, it is named REACT.glm. I've added an example of how to use it in the documentation, but is basically using the vanilla glm with some additional parameters.

[Rodrigo Lassance @rflassance]

Working on this paper was a blast! And it was a huge honor to be part of this project, thank you so much for the opportunity.

[Atila Iamarino - atila.bsky.social @oatila]

O telefone levou 50 anos para ter 50 milhões de usuários. A internet, menos de 10. Com celulares em 2019, Mario Kart levou 7 dias para ter 90M downloads. No que mais a curiosidade vai mudar a sua vida cada vez mais rápido? Descubra: https://t.co/yEv6zsunIT #alwayscurious #ad

[Luben Miguel @kuben45]

@Kono_Dia_da Jaqueson is better than colnaguin. Satanisto goodbye