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Alejandro Schuler

  1. NGBoost: Natural Gradient Boosting for Probabilistic Prediction
    2019/10/08 by Tony Duan, Anand Avati, Duan, Tony +11 · 17 citations
    Computer Science · #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
  2. Some methods for heterogeneous treatment effect estimation in\n high-dimensions
    2017/07/01 by Scott K. Powers, Powers, Scott, Junyang Qian +11 · 7 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  3. Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
    2020/12/17 by Alejandro Schuler, Schuler, Alejandro, Diana Hall +6 · 6 citations
    Mathematics · Economics, Econometrics and Finance · #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #Health Systems, Economic Evaluations, Quality of Life
  4. RieszBoost: Gradient Boosting for Riesz Regression
    2025/01/08 by Kaitlyn J. Lee, Alejandro Schuler, Lee, Kaitlyn J. +1 · 2 voices · 5 citations
    Computer Science · Mathematics · #Distributed Sensor Networks and Detection Algorithms #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #cs.LG #stat.ME #stat.ML
  5. Multivariate Probabilistic Regression with Natural Gradient Boosting
    2021/06/07 by Michael O’Malley, O'Malley, Michael, Adam M. Sykulski +5 · 2 citations
    Computer Science · Earth and Planetary Sciences · #Gaussian Processes and Bayesian Inference #Underwater Acoustics Research #Target Tracking and Data Fusion in Sensor Networks
  6. Prognostic Adjustment with Efficient Estimators to Unbiasedly Leverage Historical Data in Randomized Trials
    2023/05/30 by Lauren D. Liao, Liao, Lauren D., Alan Hubbard +4 · 4 citations
    Mathematics · #Statistical Methods in Clinical Trials #Advanced Causal Inference Techniques #Statistical Methods and Inference
  7. Mixed models for repeated measures should include time-by-covariate\n interactions to assure power gains and robustness against dropout bias\n relative to complete-case ANCOVA
    2021/08/14 by Alejandro Schuler, Schuler, Alejandro · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  8. Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions
    2023/05/03 by David McCoy, Alan Hubbard, McCoy, David B. +5 · 1 citation
    Environmental Science · Mathematics · #Health, Environment, Cognitive Aging #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference
  9. Highly Adaptive Ridge
    2024/10/03 by Alejandro Schuler, Schuler, Alejandro, Alexander Hagemeister +3 · 1 citation
    Earth and Planetary Sciences · Engineering · #FOS: Computer and information sciences #Geological and Geophysical Studies #Geological formations and processes #Hydrocarbon exploration and reservoir analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Score-Preserving Targeted Maximum Likelihood Estimation
    2025/01/31 by Noel Pimentel, Pimentel, Noel, Alejandro Schuler +3 · 1 citation
    Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)