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Raj Agrawal

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Papers (4)

  1. LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations stat.CO · 2019 · author #3
  2. ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery stat.ME · 2019 · author #1
  3. Data-dependent compression of random features for large-scale kernel approximation stat.ML · 2018 · author #1
  4. Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models stat.CO · 2018 · author #1

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