7 citations · 9 across the 4 of their papers we have counts for
7 papers
Understanding Entropic Regularization in GANs
Daria Reshetova, Yikun Bai, Xiugang Wu +1
Generative Adversarial Networks are a popular method for learning distributions from data by modeling the target distribution as a function of a known distribution. The function, o…
Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover
Yikun Bai, Xiugang Wu, Ayfer Ozgur
The optimal transport problem studies how to transport one measure to another in the most cost-effective way and has wide range of applications from economics to machine learning.…
An Isoperimetric Result on High-Dimensional Spheres
Leighton Pate Barnes, Ayfer Ozgur, Xiugang Wu
We consider an extremal problem for subsets of high-dimensional spheres that can be thought of as an extension of the classical isoperimetric problem on the sphere. Let be a su…
Minimax Learning for Remote Prediction
Cheuk Ting Li, Xiugang Wu, Ayfer Ozgur +1
The classical problem of supervised learning is to infer an accurate predictor of a target variable from a measured variable by using a finite number of labeled training sa…
Cut-Set Bound Is Loose for Gaussian Relay Networks
Xiugang Wu, Ayfer Ozgur
The cut-set bound developed by Cover and El Gamal in 1979 has since remained the best known upper bound on the capacity of the Gaussian relay channel. We develop a new upper bound…
A Unified Relay Framework with both D-F and C-F Relay Nodes
Xiugang Wu, Liang-Liang Xie
Decode-and-forward (D-F) and compress-and-forward (C-F) are two fundamentally different relay strategies proposed by (Cover and El Gamal, 1979). Individually, either of them has be…