10 citations · 20 across the 4 of their papers we have counts for
4 papers
Influential Recommender System
Haoren Zhu, Hao Ge, Xiaodong Gu +2
Traditional recommender systems are typically passive in that they try to adapt their recommendations to the user's historical interests. However, it is highly desirable for commer…
Quantized VCG Mechanisms for Polymatroid Environments
Hao Ge, Randall Berry
Many network resource allocation problems can be viewed as allocating a divisible resource, where the allocations are constrained to lie in a polymatroid. We consider market-based…
Fictitious GAN: Training GANs with Historical Models
Hao Ge, Yin Xia, Xu Chen +2
Generative adversarial networks (GANs) are powerful tools for learning generative models. In practice, the training may suffer from lack of convergence. GANs are commonly viewed as…
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
Xu Chen, Jiang Wang, Hao Ge
We relate the minimax game of generative adversarial networks (GANs) to finding the saddle points of the Lagrangian function for a convex optimization problem, where the discrimina…