2 papers
cs.LG2020
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives
Zhishuai Guo, Yan Yan, Tianbao Yang
Stochastic gradient descent (SGD) has been widely studied in the literature from different angles, and is commonly employed for solving many big data machine learning problems. How…
cs.CV2018
Learning Discriminators as Energy Networks in Adversarial Learning
Pingbo Pan, Yan Yan, Tianbao Yang +1
We propose a novel framework for structured prediction via adversarial learning. Existing adversarial learning methods involve two separate networks, i.e., the structured predictio…