Sensitivity Analysis of Linear Structural Causal Models. - Carlos Cinelli; Daniel Kumor; Bryant Chen; Judea Pearl; Elias Bareinboim (ICML, 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; et al. (AI Mag., 2019)

Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets. - Daniel Kumor; Carlos Cinelli; Elias Bareinboim (ICML, 2020)

Exploiting Equality Constraints in Causal Inference. - Chi Zhang 016; Carlos Cinelli; Bryant Chen; Judea Pearl (AISTATS, 2021)

Omitted Variable Bias in Machine Learned Causal Models. - Victor Chernozhukov; Carlos Cinelli; Whitney Newey; Amit Sharma 007; Vasilis Syrgkanis (CoRR, 2021)

Transparent and Robust Causal Inferences in the Social and Health Sciences. - Carlos Cinelli (2021)

Orthogonal Statistical Learning with Self-Concordant Loss. - Lang Liu; Carlos Cinelli; Zaïd Harchaoui (COLT, 2022)