Predicting the evolution of diseases is challenging, especially when the...
1. Abrupt environmental changes can lead to evolutionary shifts in trait...
In this paper, we propose an adaptive group Lasso deep neural network fo...
Likelihood-based methods are widely considered the best approaches for
r...
Phylogenetic comparative methods correct for shared evolutionary history...
Comparative biologists are often interested in inferring covariation bet...
We study pool-based active learning with abstention feedbacks where a la...
Maximum likelihood estimators are used extensively to estimate unknown
p...
Learning non-linear systems from noisy, limited, and/or dependent data i...
We study pool-based active learning with abstention feedbacks, where a
l...
We study fast learning rates when the losses are not necessarily bounded...