Daisuke Sakamoto

2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daisuke Sakamoto trusts overall

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

  1. Eric Brochu
  2. Dong C. Liu

Papers from Daisuke Sakamoto's perspective

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

  1. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
  2. A Bayesian interactive optimization approach to procedural animation design
  3. Global versus local search in constrained optimization of computer models
  4. On the limited memory BFGS method for large scale optimization
  5. Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
  6. Non-rigid dense correspondence with applications for image enhancement (ACM Transactions on Graphics)
  7. TurKit: human computation algorithms on mechanical turk
  8. Crowds in two seconds: enabling realtime crowd-powered interfaces (ACM Symposium on User Interface Software and Technology)
  9. Learning photographic global tonal adjustment with a database of input/output image pairs
  10. Artificial evolution for computer graphics

Their papers