Pratibha Vellanki

Artificial Intelligence · 2020

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

Subfields

Whom Pratibha Vellanki trusts overall

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

  1. Frank Hutter
  2. Joshua D. Knowles

Papers from Pratibha Vellanki's perspective

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

  1. Practical Bayesian Optimization of Machine Learning Algorithms
  2. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
  3. Multi-Task Bayesian Optimization
  4. Lipschitzian optimization without the Lipschitz constant
  5. Sequential Model-Based Optimization for General Algorithm Configuration
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Design and analysis of computer experiments

Their papers