37 citations · 169 across the 28 of their papers we have counts for
4 papers · 1 filter
Learning Markov Chain in Unordered Dataset
Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov +1
The assumption that data samples are independently identically distributed is the backbone of many learning algorithms. Nevertheless, datasets often exhibit rich structure in pract…
Steering Output Style and Topic in Neural Response Generation
Di Wang, Nebojsa Jojic, Chris Brockett +1
We propose simple and flexible training and decoding methods for influencing output style and topic in neural encoder-decoder based language generation. This capability is desirabl…
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…
On the Suboptimality of Proximal Gradient Descent for Sparse Approximation
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic +2
We study the proximal gradient descent (PGD) method for sparse approximation problem as well as its accelerated optimization with randomized algorithms in this paper. We…