Carlos Cinelli

According to our database, Carlos Cinelli authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Orthogonal Statistical Learning with Self-Concordant Loss.

Lang Liu, Carlos Cinelli, Zaïd Harchaoui

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Transparent and Robust Causal Inferences in the Social and Health Sciences.

Carlos Cinelli

PhD thesis, 2021

Omitted Variable Bias in Machine Learned Causal Models.

Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis

CoRR, 2021

Exploiting Equality Constraints in Causal Inference.

Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

Reports of the AAAI 2019 Spring Symposium Series.

Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson

AI Mag., 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