908 citations · 1.7k across the 21 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.LG2016★ 15 cited
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning
Hantian Zhang, Jerry Li, Kaan Kara +3
Recently there has been significant interest in training machine-learning models at low precision: by reducing precision, one can reduce computation and communication by one order…
cs.LG2016★ 908 cited
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li +2
Parallel implementations of stochastic gradient descent (SGD) have received significant research attention, thanks to excellent scalability properties of this algorithm, and to its…
cs.LG2016★ 18 cited
Fast Algorithms for Segmented Regression
Jayadev Acharya, Ilias Diakonikolas, Jerry Li +1
We study the fixed design segmented regression problem: Given noisy samples from a piecewise linear function , we want to recover up to a desired accuracy in mean-squared er…