Yihong Gu

15 papers A* 5Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
CINDES: Classification induced neural density estimator and simulator.
CoRR
Dehao Dai, Jianqing Fan, Yihong Gu, Debarghya Mukherjee
2025 J jnl
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization.
CoRR
Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan
2025 A* conf
Open Problem: Structure-Agnostic Minimax Risk for Partial Linear Model.
COLT
Yihong Gu
2024 J jnl
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning.
CoRR
Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan
2024 J jnl
The Implicit Bias of Heterogeneity towards Invariance and Causality.
CoRR
Yang Xu, Yihong Gu, Cong Fang
2024 A* conf
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing.
NeurIPS
Yang Xu, Yihong Gu, Cong Fang
2023 J jnl
Environment Invariant Linear Least Squares.
CoRR
Jianqing Fan, Cong Fang, Yihong Gu, Tong Zhang
2022 J jnl
Convex Formulation of Overparameterized Deep Neural Networks.
IEEE Trans. Inf. Theory
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
2020 A* conf
Domain Adaptive Imitation Learning.
ICML
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
2020 A* conf
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks.
NeurIPS
Yihong Gu, Weizhong Zhang, Cong Fang, Jason D. Lee, Tong Zhang
2019 J jnl
Convex Formulation of Overparameterized Deep Neural Networks.
CoRR
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
2019 J jnl
Cross Domain Imitation Learning.
CoRR
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
2018 A* conf
Language Modeling with Sparse Product of Sememe Experts.
EMNLP
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
2018 J jnl
Language Modeling with Sparse Product of Sememe Experts.
CoRR
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
2017 J jnl
ZhuSuan: A Library for Bayesian Deep Learning.
CoRR
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou