Eli Upfal

Artificial Intelligence · 1997–2019

A researcher in the Science corpus: 11 papers; trusts 12 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Eli Upfal trusts overall

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

  1. Michael M. Mitzenmacher
  2. Rajeev Agrawal
  3. Peter Auer
  4. Oded Goldreich
  5. Rafail M. Ostrovsky
  6. Yoav Benjamini
  7. Leslie G. Valiant
  8. Gary D. Bader
  9. Nicolò Cesa-Bianchi

Who trusts Eli Upfal overall

  1. Yihong Wu
  2. Aleksandrs Slivkins
  3. Andris Ambainis
  4. O. Ohrimenko
  5. Robert D. Kleinberg
  6. Vukosi Marivate
  7. Pengkun Yang
  8. Adam Kirsch
  9. Kai Zhu
  10. Michael M. Mitzenmacher

Papers from Eli Upfal's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Random Search for Hyper-Parameter Optimization
  3. Scikit-learn: Machine Learning in Python
  4. The Anatomy of a Large-Scale Hypertextual Web Search Engine
  5. Software protection and simulation on oblivious RAMs
  6. TensorFlow: A system for large-scale machine learning
  7. Neural Architecture Search with Reinforcement Learning
  8. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
  9. Sequential Model-Based Optimization for General Algorithm Configuration
  10. Learning to learn by gradient descent by gradient descent

Their papers