Yihong Gu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Language Modeling

Imitation Learning

Convex Formulation

Top Venues

IEEE Trans. Inf. Theory

Publications

Yang Xu, Yihong Gu, Cong Fang
The Implicit Bias of Heterogeneity towards Invariance and Causality. CoRR (2024)
Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning. CoRR (2024)
Jianqing Fan, Cong Fang, Yihong Gu, Tong Zhang
Environment Invariant Linear Least Squares. CoRR (2023)
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
Convex Formulation of Overparameterized Deep Neural Networks. IEEE Trans. Inf. Theory 68 (8) (2022)
Yihong Gu, Weizhong Zhang, Cong Fang, Jason D. Lee, Tong Zhang
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks. NeurIPS (2020)
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
Domain Adaptive Imitation Learning. ICML (2020)
Kun Ho Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
Cross Domain Imitation Learning. CoRR (2019)
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
Convex Formulation of Overparameterized Deep Neural Networks. CoRR (2019)
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
Language Modeling with Sparse Product of Sememe Experts. EMNLP (2018)
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
Language Modeling with Sparse Product of Sememe Experts. CoRR (2018)
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
ZhuSuan: A Library for Bayesian Deep Learning. CoRR (2017)