4 papers
Variational phylogenetic inference with products over bipartitions
Evan Sidrow, Alexandre Bouchard-Côté, Lloyd T. Elliott
Bayesian phylogenetics is vital for understanding evolutionary dynamics, and requires accurate and efficient approximation of posterior distributions over trees. In this work, we d…
Detecting and Characterizing Companions with a Calibrated Gaia DR2, DR3, and Hipparcos Catalog (G23H)
William Thompson, Dori Blakely, Jerry W. Xuan +16
Gaia DR4 epoch astrometry will enable the detection of thousands of exoplanets through astrometric motion. Here, we present a composite catalog and modeling framework that extracts…
AutoGD: Automatic Learning Rate Selection for Gradient Descent
Nikola Surjanovic, Alexandre Bouchard-Côté, Trevor Campbell
The performance of gradient-based optimization methods, such as standard gradient descent (GD), greatly depends on the choice of learning rate. However, it can require a non-trivia…
AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent
Nikola Surjanovic, Alexandre Bouchard-Côté, Trevor Campbell
The learning rate is an important tuning parameter for stochastic gradient descent (SGD) and can greatly influence its performance. However, appropriate selection of a learning rat…