Yihong Gu

According to our database, Yihong Gu authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization.

Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan

CoRR, January, 2025

2024

Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning.

Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan

CoRR, 2024

The Implicit Bias of Heterogeneity towards Invariance and Causality.

Yang Xu, Yihong Gu, Cong Fang

CoRR, 2024

The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing.

Yang Xu, Yihong Gu, Cong Fang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Environment Invariant Linear Least Squares.

Jianqing Fan, Cong Fang, Yihong Gu, Tong Zhang

CoRR, 2023

2022

Convex Formulation of Overparameterized Deep Neural Networks.

Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang

IEEE Trans. Inf. Theory, 2022

2020

How to Characterize The Landscape of Overparameterized Convolutional Neural Networks.

Yihong Gu, Weizhong Zhang, Cong Fang, Jason D. Lee, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Domain Adaptive Imitation Learning.

Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Cross Domain Imitation Learning.

Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon

CoRR, 2019

2018

Language Modeling with Sparse Product of Sememe Experts.

Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

ZhuSuan: A Library for Bayesian Deep Learning.

Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

CoRR, 2017