Follow
Ignavier Ng
Title
Cited by
Cited by
Year
Causal discovery with reinforcement learning
S Zhu, I Ng, Z Chen
International Conference on Learning Representations, 2020
2212020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
I Ng, AE Ghassami, K Zhang
Advances in Neural Information Processing Systems 33, 2020
1372020
Masked gradient-based causal structure learning
I Ng*, S Zhu*, Z Fang*, H Li, Z Chen, J Wang
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
782022
A Graph Autoencoder Approach to Causal Structure Learning
I Ng, S Zhu, Z Chen, Z Fang
arXiv preprint arXiv:1911.07420, 2019
702019
On the convergence of continuous constrained optimization for structure learning
I Ng, S Lachapelle, NR Ke, S Lacoste-Julien, K Zhang
International Conference on Artificial Intelligence and Statistics, 8176-8198, 2022
322022
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Y Zheng, I Ng, K Zhang
Advances in Neural Information Processing Systems 35, 2022
292022
gcastle: A python toolbox for causal discovery
K Zhang, S Zhu, M Kalander, I Ng, J Ye, Z Chen, L Pan
arXiv preprint arXiv:2111.15155, 2021
282021
Lipizzaner: a system that scales robust generative adversarial network training
T Schmiedlechner, INZ Yong, A Al-Dujaili, E Hemberg, UM O'Reilly
arXiv preprint arXiv:1811.12843, 2018
222018
Towards federated bayesian network structure learning with continuous optimization
I Ng, K Zhang
International Conference on Artificial Intelligence and Statistics, 8095-8111, 2022
202022
Reliable causal discovery with improved exact search and weaker assumptions
I Ng, Y Zheng, J Zhang, K Zhang
Advances in Neural Information Processing Systems 34, 20308-20320, 2021
162021
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
E Gao*, I Ng*, M Gong, L Shen, W Huang, T Liu, K Zhang, H Bondell
Advances in Neural Information Processing Systems 35, 2022
132022
Truncated Matrix Power Iteration for Differentiable DAG Learning
Z Zhang*, I Ng*, D Gong, Y Liu, EM Abbasnejad, M Gong, K Zhang, ...
Advances in Neural Information Processing Systems 35, 2022
122022
STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity
Y Kang, K Wu, S Gao, I Ng, J Rao, S Ye, F Zhang, T Fei
International Journal of Geographical Information Science 36 (8), 1518-1549, 2022
102022
On the identifiability of nonlinear ICA with unconditional priors
Y Zheng, I Ng, K Zhang
ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022
92022
Structure Learning with Continuous Optimization: A Sober Look and Beyond
I Ng, B Huang, K Zhang
arXiv preprint arXiv:2304.02146, 2023
42023
A versatile causal discovery framework to allow causally-related hidden variables
X Dong, B Huang, I Ng, X Song, Y Zheng, S Jin, R Legaspi, P Spirtes, ...
arXiv preprint arXiv:2312.11001, 2023
32023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Y Zheng, I Ng, Y Fan, K Zhang
arXiv preprint arXiv:2305.11379, 2023
12023
Federated Causal Discovery from Heterogeneous Data
L Li, I Ng, G Luo, B Huang, G Chen, T Liu, B Gu, K Zhang
arXiv preprint arXiv:2402.13241, 2024
2024
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
I Ng, Y Zheng, X Dong, K Zhang
Advances in Neural Information Processing Systems 36, 2024
2024
Causal Representation Learning from Multiple Distributions: A General Setting
K Zhang, S Xie, I Ng, Y Zheng
arXiv preprint arXiv:2402.05052, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20