Ignavier Ng

10

Papers

11

Total Citations

Papers (10)

Federated Causal Discovery from Heterogeneous Data

Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data

Causal Representation Learning from Multiple Distributions: A General Setting

Score-Based Causal Discovery of Latent Variable Causal Models

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions

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

On the Identifiability of Nonlinear ICA: Sparsity and Beyond

Truncated Matrix Power Iteration for Differentiable DAG Learning

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity