Kazuhide Nakata
SIAM Journal on Optimization · 2000–2019
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Whom Kazuhide Nakata trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kazuhide Nakata overall
Papers from Kazuhide Nakata's perspective
Ordered by how strongly the researchers Kazuhide Nakata trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The central role of the propensity score in observational studies for causal effects
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The Self-Normalized Estimator for Counterfactual Learning
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Probabilistic Matrix Factorization
- Unbiased Learning-to-Rank with Biased Feedback
- Matrix Factorization Techniques for Recommender Systems
- Top-K Off-Policy Correction for a REINFORCE Recommender System
- CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
Their papers
- Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework (2000) — 353 citations
- Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback (2019) — 322 citations
- BEST SUBSET SELECTION FOR ELIMINATING MULTICOLLINEARITY (2017) — 47 citations
- Variational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm (2001) — 262 citations