Jalaj Bhandari
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #22,211 of 35,345 by trust here, #31,361 by citations
- Reinforcement Learning — 17 citations into it
- Optimization & Training — 14 citations into it
- Computational Mechanics — 6 citations into it
- Management Science and Operations Research — 5 citations into it; #6,907 of 11,946 by trust here, #9,931 by citations
- Statistics and Probability — 5 citations into it
Whom Jalaj Bhandari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- John N. Tsitsiklis
- Anatoli B. Juditsky
- Andrew Barto
- Vivek Shripad Borkar
- David Ruppert
- Sébastien Bubeck
- J. Nieuwenhuis
- Csaba Szepesvari
- Dimitri P. Bertsekas
Who trusts Jalaj Bhandari overall
Papers from Jalaj Bhandari's perspective
Ordered by how strongly the researchers Jalaj Bhandari 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation (2018) — 409 citations