Daniel Kumor

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Directed Acyclic Graph

Causal Inference

Auxiliary Variables

Top Venues

Publications

Daniel Kumor, Junzhe Zhang, Elias Bareinboim
Sequential Causal Imitation Learning with Unobserved Confounders. CoRR (2022)
Junzhe Zhang, Daniel Kumor, Elias Bareinboim
Causal Imitation Learning with Unobserved Confounders. CoRR (2022)
Daniel Kumor, Junzhe Zhang, Elias Bareinboim
Sequential Causal Imitation Learning with Unobserved Confounders. NeurIPS (2021)
Daniel Kumor, Carlos Cinelli, Elias Bareinboim
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets. ICML (2020)
Junzhe Zhang, Daniel Kumor, Elias Bareinboim
Causal Imitation Learning With Unobserved Confounders. NeurIPS (2020)
Daniel Kumor, Bryant Chen, Elias Bareinboim
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. CoRR (2019)
Daniel Kumor, Bryant Chen, Elias Bareinboim
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. NeurIPS (2019)
Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim
Sensitivity Analysis of Linear Structural Causal Models. ICML (2019)
Bryant Chen, Daniel Kumor, Elias Bareinboim
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables. ICML (2017)