173 citations · 211 across the 9 of their papers we have counts for
5 papers · 1 filter
Teacher-Student Compression with Generative Adversarial Networks
Ruishan Liu, Nicolo Fusi, Lester Mackey
More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy on CPU- or memory-constrained devices. Teacher-student…
Global Non-convex Optimization with Discretized Diffusions
Murat A. Erdogdu, Lester Mackey, Ohad Shamir
An Euler discretization of the Langevin diffusion is known to converge to the global minimizers of certain convex and non-convex optimization problems. We show that this property h…
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
Jessica Hwang, Paulo Orenstein, Judah Cohen +2
Water managers in the western United States (U.S.) rely on longterm forecasts of temperature and precipitation to prepare for droughts and other wet weather extremes. To improve th…
Expert identification of visual primitives used by CNNs during mammogram classification
Jimmy Wu, Diondra Peck, Scott Hsieh +6
This work interprets the internal representations of deep neural networks trained for classification of diseased tissue in 2D mammograms. We propose an expert-in-the-loop interpret…
Stein Points
Wilson Ye Chen, Lester Mackey, Jackson Gorham +2
An important task in computational statistics and machine learning is to approximate a posterior distribution with an empirical measure supported on a set of representative…