Sayak Ray Chowdhury
Management Science and Operations Research · 2017
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 12 citations into it; #4,024 of 11,946 by trust here, #8,062 by citations
- Artificial Intelligence — 11 citations into it; #14,256 of 35,345 by trust here, #27,551 by citations
- Computer Networks and Communications — 6 citations into it
- Reinforcement Learning — 5 citations into it
Whom Sayak Ray Chowdhury trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Harold J. Kushner
- Fuzhen Zhang
- Shipra Agrawal
- Emilie Kaufmann
- Varsha Dani
- Yasin Abbasi-Yadkori
- Victor H. de la Peña
- Javad Azimi
- Michal Valko
- N. Korda
Who trusts Sayak Ray Chowdhury overall
- Lin F. Yang
- Donald R. Jones
- Felix Berkenkamp
- Mengdi Wang
- Kirthevasan Kandasamy
- Matthias Schonlau
- Matteo Turchetta
- Angela P. Schoellig
- William J. Welch
- Ying Jin
Papers from Sayak Ray Chowdhury's perspective
Ordered by how strongly the researchers Sayak Ray Chowdhury trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Stochastic Linear Optimization under Bandit Feedback
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
Their papers
- On Kernelized Multi-armed Bandits (2017) — 581 citations