Rafael Izbicki | PhD
Rafael Izbicki | PhD
Home
Featured Publications
Lecture Notes
Teaching
Talks
Posts
Students
Contact
Miscellanea
Light
Dark
Automatic
2
Simulation-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms or Posterior Estimators for Inverse Problems
L. Masserano
,
T. Dorigo
,
Rafael Izbicki
,
M. Kuusela
,
A. B. Lee
February, 2023
Proceedings of Machine Learning Research (AISTATS track)
Preprint
A new LDA formulation with covariates
G. Shimizu
,
Rafael Izbicki
,
D. Valle
January, 2023
Communications in Statistics - Simulation and Computation
Preprint
Logical coherence in Bayesian simultaneous three-way hypothesis tests
Luís G. Esteves
,
Rafael Izbicki
,
Julio M. Stern
,
Rafael B. Stern
January, 2023
In
International Journal of Approximate Reasoning
PDF
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
T. McNeely
,
G. Vincente
,
K. M. Wood
,
Rafael Izbicki
,
A. B. Lee
August, 2022
Annals of Applied Statistics
Preprint
PDF
CD-split and HPD-split: Efficient conformal regions in high dimensions
Conformal methods create prediction bands that control average coverage assuming solely i.i.d. data. We introduce CD-split and HPD-split, which yield general prediction regions and converge to the optimal highest predictive density set.
Rafael Izbicki
,
Gilson Shimizu
,
Rafael B. Stern
May, 2022
Journal of Machine Learning Research
PDF
Cite
Code
Selecting Genetic Variants and Interactions Associated with Amyotrophic Lateral Sclerosis: A Group LASSO Approach
S. G. Feronato
,
M. L. M. Silva
,
Rafael Izbicki
,
T. D. J. Farias
,
P. Shigunov
,
B. Dallagiovanna
,
F. Passetti
,
H. G. dos Santos
January, 2022
Journal Of Personalized Medicine
PDF
What if the forecaster knew? Assessing forecast reliability via simulation
M. H. de A. Inácio
,
Rafael Izbicki
,
D. L. Lopes
,
M. A. Diniz
,
L. E. B. Salasar
,
J. Poloniato
January, 2022
TEMA.
PDF
Causas de desaparecimento no estado de São Paulo entre 2013 e 2014: uma análise automatizada de boletins de ocorrência
Este artigo estuda as causas de desaparecimento no estado de São Paulo por idade e sexo dos desaparecidos. Para tanto, utiliza algoritmos de aprendizado de máquina para avaliar automaticamente o texto de boletins de ocorrência.
Mateus B. Comito
,
Rafael Izbicki
,
Rafael B. Stern
,
Julio A. Z. Trecenti
February, 2021
In
RDPESP
PDF
Cite
The Latent Dirichlet Allocation model with covariates (LDAcov): a case study on the effect of fire on species composition in Amazonian forests
Understanding and predicting the effect of global change phenomena on biodiversity is challenging given that biodiversity data are …
D. Valle
,
G. Shimizu
,
Rafael Izbicki
,
L. Maracahipes
,
D. Silvério
,
L. Paolucci
,
Y. Jameel
,
P. Brando
February, 2021
Ecology and Evolution
PDF
Distance assessment and analysis of high-dimensional samples using variational autoencoders
An important question in many machine learning applications is whether two samples arise from the same generating distribution. …
M. H. de A. Inácio
,
Rafael Izbicki
,
B. Gyires-Tóth
January, 2021
Information Sciences
Preprint
PDF
»
Cite
×