5.7k citations · 15.5k across the 75 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017★ 40 cited
Reducing Reparameterization Gradient Variance
Andrew C. Miller, Nicholas J. Foti, Alexander D'Amour +1
Optimization with noisy gradients has become ubiquitous in statistics and machine learning. Reparameterization gradients, or gradient estimates computed via the "reparameterization…
stat.ML2017★ 6 cited
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
Ardavan Saeedi, Matthew D. Hoffman, Stephen J. DiVerdi +3
Professional-grade software applications are powerful but complicatedexpert users can achieve impressive results, but novices often struggle to complete even basic tasks. Photo…