4 citations · 12 across the 5 of their papers we have counts for
7 papers · 1 filter
Toward Understanding Privileged Features Distillation in Learning-to-Rank
Shuo Yang, Sujay Sanghavi, Holakou Rahmanian +2
In learning-to-rank problems, a privileged feature is one that is available during model training, but not available at test time. Such features naturally arise in merchandised rec…
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song, Shuo Yang, Ruizhe Zhang
Deep neural networks have achieved impressive performance in many areas. Designing a fast and provable method for training neural networks is a fundamental question in machine lear…
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
Shuo Yang, Le Hou, Xiaodan Song +2
We propose a simple and efficient approach for training the BERT model. Our approach exploits the special structure of BERT that contains a stack of repeated modules (i.e., transfo…
Combinatorial Bandits without Total Order for Arms
Shuo Yang, Tongzheng Ren, Inderjit S. Dhillon +1
We consider the combinatorial bandits problem, where at each time step, the online learner selects a size- subset from the arms set , where $\left|\mathcal{A}\r…
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang, Yanyao Shen, Sujay Sanghavi
Quadratic regression involves modeling the response as a (generalized) linear function of not only the features but also of quadratic terms . The inclusio…
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data
Shuo Yang
With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time signifi…