Hayato Sakata

Web Search and Data Mining · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hayato Sakata trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Donald B. Rubin
  2. Christopher C. Johnson

Papers from Hayato Sakata's perspective

Ordered by how strongly the researchers Hayato Sakata trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The central role of the propensity score in observational studies for causal effects
  2. The Self-Normalized Estimator for Counterfactual Learning
  3. Probabilistic Matrix Factorization
  4. Estimating causal effects of treatments in randomized and nonrandomized studies.
  5. Unbiased Learning-to-Rank with Biased Feedback
  6. Matrix Factorization Techniques for Recommender Systems
  7. Top-K Off-Policy Correction for a REINFORCE Recommender System
  8. CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
  9. Learning classifiers from only positive and unlabeled data
  10. Offline A/B Testing for Recommender Systems

Their papers