23 citations · 30 across the 4 of their papers we have counts for
10 papers
Fast Distributed Bandits for Online Recommendation Systems
Kanak Mahadik, Qingyun Wu, Shuai Li +1
Contextual bandit algorithms are commonly used in recommender systems, where content popularity can change rapidly. These algorithms continuously learn latent mappings between user…
Origin of current-controlled negative differential resistance modes and the emergence of composite characteristics with high complexity
Shuai Li, Xinjun Liu, Sanjoy Kumar Nandi +2
Current-controlled negative differential resistance has significant potential as a fundamental building block in brain-inspired neuromorphic computing. However, achieving desired n…
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
In this paper, we introduce the algorithms of Orthogonal Deep Neural Networks (OrthDNNs) to connect with recent interest of spectrally regularized deep learning methods. OrthDNNs a…
Improved Algorithm on Online Clustering of Bandits
Shuai Li, Wei Chen, Kwong-Sak Leung
We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies. A more efficient algorithm is proposed with simple set structu…
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks
Shuai Li
We present a formal measure-theoretical theory of neural networks (NN) built on probability coupling theory. Our main contributions are summarized as follows. * Built on the formal…
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
Mo Deng, Shuai Li, George Barbastathis
Deep Neural Network (DNN)-based image reconstruction, despite many successes, often exhibits uneven fidelity between high and low spatial frequency bands. In this paper we propose…