Victor Quintas-Martinez

According to our database, Victor Quintas-Martinez authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

2024

Multiply-Robust Causal Change Attribution.

Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, Dominik Janzing, David Heckerman

CoRR, 2024

Multiply-Robust Causal Change Attribution.

Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, David Heckerman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Finite-Sample Guarantees for High-Dimensional DML.

Victor Quintas-Martinez

CoRR, 2022

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.

Victor Chernozhukov, Whitney Newey, Victor Quintas-Martinez, Vasilis Syrgkanis

Proceedings of the International Conference on Machine Learning, 2022