Agrawal, Raj

1. ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
   2019/02/27 by Raj Agrawal, Agrawal, Raj, Chandler Squires +7 · 5 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods in Clinical Trials
2. Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
   2018/03/15 by Raj Agrawal, Tamara Broderick, Agrawal, Raj +3 · 3 citations
   Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
3. The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear\n Interaction Discovery in Linear Time
   2021/06/23 by Raj Agrawal, Agrawal, Raj, Tamara Broderick +1 · 2 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · Materials Science · #Computational Drug Discovery Methods #Metabolomics and Mass Spectrometry Studies #Machine Learning in Materials Science
4. Data-dependent compression of random features for large-scale kernel\n approximation
   2018/10/09 by Raj Agrawal, Trevor Campbell, Agrawal, Raj +5 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
5. Covariance Matrix Estimation under Total Positivity for Portfolio\n Selection
   2019/09/09 by Raj Agrawal, Agrawal, Raj, Uma Roy +3 · 1 citation
   Decision Sciences · Economics, Econometrics and Finance · #Applications (stat.AP) #FOS: Computer and information sciences #Financial Markets and Investment Strategies #Forecasting Techniques and Applications #Methodology (stat.ME) #Stock Market Forecasting Methods
6. The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise\n Interactions in High Dimensions
   2019/05/15 by Raj Agrawal, Jonathan H. Huggins, Agrawal, Raj +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME)
7. The DeCAMFounder: Non-Linear Causal Discovery in the Presence of Hidden Variables
   2021/02/16 by Agrawal, Raj, Squires, Chandler, Prasad, Neha +1 · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
8. Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors
   2022/07/04 by Squires, Chandler, Yun, Annie, Nichani, Eshaan +2 · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
9. Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
   2024/02/29 by Agrawal, Raj, Witty, Sam, Zane, Andy +1 · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)