3 citations · 4 across the 9 of their papers we have counts for
9 papers
Extending Prediction-Powered Inference through Conformal Prediction
Daniel Csillag, Pedro Dall'Antonia, Claudio José Struchiner +1
Prediction-powered inference is a recent methodology for the safe use of black-box ML models to impute missing data, strengthening inference of statistical parameters. However, man…
Mining Unstructured Medical Texts With Conformal Active Learning
Juliano Genari, Guilherme Tegoni Goedert
The extraction of relevant data from Electronic Health Records (EHRs) is crucial to identifying symptoms and automating epidemiological surveillance processes. By harnessing the va…
Image Super-Resolution with Guarantees via Conformalized Generative Models
Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
The increasing use of generative ML foundation models for image restoration tasks such as super-resolution calls for robust and interpretable uncertainty quantification methods. We…
Prediction-Powered E-Values
Daniel Csillag, Claudio José Struchiner, Guilherme Tegoni Goedert
Quality statistical inference requires a sufficient amount of data, which can be missing or hard to obtain. To this end, prediction-powered inference has risen as a promising metho…
Strategic Conformal Prediction
Daniel Csillag, Claudio José Struchiner, Guilherme Tegoni Goedert
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 min…
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
Daniel Csillag, Claudio José Struchiner, Guilherme Tegoni Goedert
Many algorithms have been recently proposed for causal machine learning. Yet, there is little to no theory on their quality, especially considering finite samples. In this work, we…
Instanton-based Importance Sampling for Extreme Fluctuations in a Shell Model for Turbulent Energy Cascade
Guilherme Tegoni Goedert, Luca Biferale
Many out-of-equilibrium flows present non-Gaussian fluctuations in physically relevant observables, such as energy dissipation rate. This implies extreme fluctuations that, althoug…
Quantifying protocols for safe school activities
Juliano Genari, Guilherme Tegoni Goedert, Sergio H. A. Lira +12
By the peak of COVID-19 restrictions on April 8, 2020, up to 1.5 billion students across 188 countries were by the suspension of physical attendance in schools. Schools were among…
Resonance in rarefaction and shock curves: local analysis and numerics of the continuation method
A. C. Alvarez, G. T. Goedert, D. Marchesin
In this paper, we describe certain crucial steps in the development of an algorithm for finding the Riemann solution in systems of conservation laws. We relax the classical hypothe…