Yuta Nishino
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 Yuta Nishino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yuta Nishino's perspective
Ordered by how strongly the researchers Yuta Nishino trusts endorse each paper. Same corpus, a different order for every researcher.
- The central role of the propensity score in observational studies for causal effects
- The Self-Normalized Estimator for Counterfactual Learning
- Probabilistic Matrix Factorization
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Unbiased Learning-to-Rank with Biased Feedback
- Matrix Factorization Techniques for Recommender Systems
- Top-K Off-Policy Correction for a REINFORCE Recommender System
- ImageNet classification with deep convolutional neural networks
- CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
- Learning classifiers from only positive and unlabeled data
Their papers
- Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback (2019) — 322 citations