Sanjog Misra
Statistics and Probability · 2000–2022
A researcher in the Science corpus: 7 papers; trusts 102 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 115 citations into it; #4,130 of 12,932 by trust here, #5,294 by citations
- Artificial Intelligence — 69 citations into it; #21,782 of 35,345 by trust here, #23,731 by citations
- Causal Inference & Discovery — 32 citations into it; #236 of 364 by trust here, #266 by citations
- Statistical Learning Theory — 24 citations into it
- Economics and Econometrics — 21 citations into it
- Management Science and Operations Research — 16 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Computational Mechanics — 13 citations into it
Whom Sanjog Misra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Victor Chernozhukov
- Susan Athey
- Dmitry Yarotsky
- Alexandre Belloni
- Robert Tibshirani
- Guido W. Imbens
- Max H. Farrell
- Peter L. Bartlett
- Vladimir Koltchinskii
- V. Hotz
Who trusts Sanjog Misra overall
Papers from Sanjog Misra's perspective
Ordered by how strongly the researchers Sanjog Misra trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Targeted Undersmoothing. (2017) — 12 citations
- Deep Neural Networks for Estimation and Inference: Application to Causal Effects and Other Semiparametric Estimands (2018) — 269 citations
- Heterogeneous Treatment Effects and Optimal Targeting Policy Evaluation (2018) — 96 citations
- Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019 (2022) — 1,179 citations
- DEEP NEURAL NETWORKS FOR ESTIMATION AND INFERENCE (2020)
- A structural model of sales-force compensation dynamics: Estimation and field implementation (2009) — 193 citations
- On risk, convenience, and Internet shopping behavior (2000) — 1,231 citations