Yash Deshpande

Statistics and Probability · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 20 citations into it
• Management Science and Operations Research — 14 citations into it
• Artificial Intelligence — 13 citations into it
• Reinforcement Learning — 9 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Yash Deshpande trusts overall

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

1. Michel Ledoux
2. Susan Athey
3. Nathan Kallus
4. Joel A. Tropp
5. T. L. Lai Andherbertrobbins
6. Adel Javanmard
7. Brian Kulis
8. Yixin Wang
9. Guido W. Imbens
10. Maria Dimakopoulou

Who trusts Yash Deshpande overall

1. Greg Yang
2. Maria Dimakopoulou

Papers from Yash Deshpande's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Regression Shrinkage and Selection via the Lasso
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. A contextual-bandit approach to personalized news article recommendation
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Accurate Inference for Adaptive Linear Models (2017) — 72 citations
• Asymptotic mutual information for the balanced binary stochastic block model (2016) — 99 citations