no code implementations • 29 Aug 2023 • Sohom Bhattacharya, Jianqing Fan, Jikai Hou
Network data is prevalent in numerous big data applications including economics and health networks where it is of prime importance to understand the latent structure of network.
no code implementations • 20 Dec 2022 • Jianqing Fan, Jikai Hou, Mengxin Yu
This paper concerns with statistical estimation and inference for the ranking problems based on pairwise comparisons with additional covariate information such as the attributes of the compared items.
1 code implementation • 2 Oct 2019 • Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang
Assuming that the teacher network is overparameterized, we argue that the teacher network is essentially harvesting dark knowledge from the data via early stopping.
no code implementations • 25 Sep 2019 • Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang
Assuming that the teacher network is overparameterized, we argue that the teacher network is essentially harvesting dark knowledge from the data via early stopping.
no code implementations • 28 May 2019 • Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Li-Wei Wang
First-order methods such as stochastic gradient descent (SGD) are currently the standard algorithm for training deep neural networks.
no code implementations • ICLR 2019 • Jikai Hou, Kaixuan Huang, Zhihua Zhang
In this paper, we adopt distributionally robust optimization (DRO) (Ben-Tal et al., 2013) in hope to achieve a better generalization in deep learning tasks.