16 citations · 31 across the 8 of their papers we have counts for
5 papers · 1 filter
Minimax Estimation of Neural Net Distance
Kaiyi Ji, Yingbin Liang
An important class of distance metrics proposed for training generative adversarial networks (GANs) is the integral probability metric (IPM), in which the neural net distance captu…
SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms
Zhe Wang, Kaiyi Ji, Yi Zhou +2
SARAH and SPIDER are two recently developed stochastic variance-reduced algorithms, and SPIDER has been shown to achieve a near-optimal first-order oracle complexity in smooth nonc…
When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?
Tengyu Xu, Yi Zhou, Kaiyi Ji +1
We study the implicit bias of gradient descent methods in solving a binary classification problem over a linearly separable dataset. The classifier is described by a nonlinear ReLU…
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion
Kaiyi Ji, Jian Tan, Jinfeng Xu +1
Low-rank matrix completion has achieved great success in many real-world data applications. A matrix factorization model that learns latent features is usually employed and, to imp…
Asymptotic Miss Ratio of LRU Caching with Consistent Hashing
Kaiyi Ji, Guocong Quan, Jian Tan
To efficiently scale data caching infrastructure to support emerging big data applications, many caching systems rely on consistent hashing to group a large number of servers to fo…