Ezequiel Smucler

1. Efficient adjustment sets in causal graphical models with hidden\n variables
   2020/04/22 by Ezequiel Smucler, Smucler, Ezequiel, Facundo Sapienza +3 · 3 citations
   Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Economic Policies and Impacts #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Voting Systems #Machine Learning (stat.ML) #Statistics Theory (math.ST)
2. A unifying approach for doubly-robust \ℓ₁ regularized estimation of\n causal contrasts
   2019/04/07 by Ezequiel Smucler, Andrea Rotnitzky, Smucler, Ezequiel +3 · 3 citations
   Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
3. Efficient adjustment sets for population average treatment effect\n estimation in non-parametric causal graphical models
   2019/11/30 by Andrea Rotnitzky, Rotnitzky, Andrea, Ezequiel Smucler +1 · 1 citation
   Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
4. A note on efficient minimum cost adjustment sets in causal graphical models
   2022/01/06 by Ezequiel Smucler, Andrea Rotnitzky, Smucler, Ezequiel +1 · 1 citation
   Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)