312 citations · 649 across the 29 of their papers we have counts for
3 papers · 1 filter
Variational Auto-Encoder Architectures that Excel at Causal Inference
Negar Hassanpour, Russell Greiner
Estimating causal effects from observational data (at either an individual -- or a population -- level) is critical for making many types of decisions. One approach to address this…
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
Roberto Vega, Leonardo Flores, Russell Greiner
Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR…
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels
Roberto Vega, Pouneh Gorji, Zichen Zhang +5
Deep learning approaches often require huge datasets to achieve good generalization. This complicates its use in tasks like image-based medical diagnosis, where the small training…