619 citations · 6.4k across the 178 of their papers we have counts for
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stat.ML2017★ 2 cited
Discriminative Similarity for Clustering and Semi-Supervised Learning
Yingzhen Yang, Feng Liang, Nebojsa Jojic +3
Similarity-based clustering and semi-supervised learning methods separate the data into clusters or classes according to the pairwise similarity between the data, and the pairwise…
stat.ML2017
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction
Renbo Zhao, William B. Haskell, Jiashi Feng
We propose a unified framework to speed up the existing stochastic matrix factorization (SMF) algorithms via variance reduction. Our framework is general and it subsumes several we…
stat.ML2017★ 15 cited
The Landscape of Deep Learning Algorithms
Pan Zhou, Jiashi Feng
This paper studies the landscape of empirical risk of deep neural networks by theoretically analyzing its convergence behavior to the population risk as well as its stationary poin…