CV
Brief CV. See PDF for complete details.
Basics
Name | Luben M. C. Cabezas |
Position | PhD Candidate in Statistics |
lucruz45.cab@gmail.com | |
Url | https://monoxido45.github.io/ |
Interests | Uncertainty Quantification in ML, Statistical Learning, Non-Parametric Statistics |
Work
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2022.08 - Present PhD researcher
Statistical Machine Learning Lab - SMaLL, UFSCar
- Research funded by FAPESP (Grant 2022/08579-7).
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2021.11 - 2022.06 -
2020.11 - 2021.11 Research Assistant
Statistical Machine Learning Lab - SMaLL, UFSCar
- Research funded by FAPESP (Grant 2020/10861-7).
Education
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2022.08 - Present São Carlos, Brazil
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2018.03 - 2022.04 São Carlos, Brazil
Publications
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2025.02 Epistemic Uncertainty in Conformal Scores: A Unified Approach
arXiv (pre-print)
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2025.01 Regression trees for fast and adaptive prediction intervals
Information Sciences
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2024.12 Distribution-Free Calibration of Statistical Confidence Sets
arXiv (pre-print)
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2023.12 REACT to NHST: Sensible conclusions to meaningful hypotheses
arXiv (pre-print)
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2023.07 Hierarchical clustering: Visualization, feature importance and model selection
Applied Soft Computing
Skills
Coding | |
R | |
Python | |
Shell Script |
Developing tools | |
Git | |
Markdown | |
Linux | |
Latex |
Research | |
Writing | |
Benchmarking | |
Literature Review | |
Idea Generation | |
Communication |
Statistical Learning | |
Conformal Prediction | |
Decision Trees | |
Local Calibration | |
Neural Networks |
Languages
Portuguese | |
Native speaker |
English | |
Fluent |
Spanish | |
Advanced |
French | |
Basic |
Interests
Statistical Learning | |
Conformal Prediction | |
Local Calibration | |
Uncertainty Quantification | |
Likelihood-Free Inference | |
Neural Networks | |
PAC Learning | |
Decision Trees and Random Forests |
Statistics | |
Non Parameteric Inference | |
Hypothesis Testing | |
Bayesian Inference | |
Bayes Non-Parametric Inference |