30 citations · 75 across the 14 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 2 cited
Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore, Tianhao Zhu, Dean Foster
We consider online forecasting problems for non-convex machine learning models. Forecasting introduces several challenges such as (i) frequent updates are necessary to deal with co…
cs.CV2019★ 30 cited
ROMark: A Robust Watermarking System Using Adversarial Training
Bingyang Wen, Sergul Aydore
The availability and easy access to digital communication increase the risk of copyrighted material piracy. In order to detect illegal use or distribution of data, digital watermar…
cs.LG2019
Time-Smoothed Gradients for Online Forecasting
Tianhao Zhu, Sergul Aydore
Here, we study different update rules in stochastic gradient descent (SGD) for online forecasting problems. The selection of the learning rate parameter is critical in SGD. However…