Daniel Kumor

According to our database, Daniel Kumor authored at least 6 papers between 2017 and 2021.

Collaborative distances:

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

2021

Sequential Causal Imitation Learning with Unobserved Confounders.

Daniel Kumor, Junzhe Zhang, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Causal Imitation Learning With Unobserved Confounders.

Junzhe Zhang, Daniel Kumor, Elias Bareinboim

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

Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets.

Daniel Kumor, Carlos Cinelli, Elias Bareinboim

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

2019

Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets.

Daniel Kumor, Bryant Chen, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sensitivity Analysis of Linear Structural Causal Models.

Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables.

Bryant Chen, Daniel Kumor, Elias Bareinboim

Proceedings of the 34th International Conference on Machine Learning, 2017