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20182026
most citedCausal Discovery with Reinforcement Learning

109 citations · 346 across the 39 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 4 cited

Truncated Matrix Power Iteration for Differentiable DAG Learning

Zhen Zhang, Ignavier Ng, Dong Gong +5

Recovering underlying Directed Acyclic Graph (DAG) structures from observational data is highly challenging due to the combinatorial nature of the DAG-constrained optimization prob…

cs.LG2022★ 6 cited

On the Identifiability of Nonlinear ICA: Sparsity and Beyond

Yujia Zheng, Ignavier Ng, Kun Zhang

Nonlinear independent component analysis (ICA) aims to recover the underlying independent latent sources from their observable nonlinear mixtures. How to make the nonlinear ICA mod…

cs.LG2022★ 11 cited

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

Erdun Gao, Ignavier Ng, Mingming Gong +5

State-of-the-art causal discovery methods usually assume that the observational data is complete. However, the missing data problem is pervasive in many practical scenarios such as…

cs.LG2022★ 34 cited

STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

Yuhao Kang, Kunlin Wu, Song Gao +5

Spatial clustering has been widely used for spatial data mining and knowledge discovery. An ideal multivariate spatial clustering should consider both spatial contiguity and aspati…

cs.LG2022★ 4 cited

Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions

Ignavier Ng, Yujia Zheng, Jiji Zhang +1

Many of the causal discovery methods rely on the faithfulness assumption to guarantee asymptotic correctness. However, the assumption can be approximately violated in many ways, le…