Yixin Wang
Statistics and Probability · with Blei · 2016–2019
A researcher in the Science corpus: 5 papers; trusts 94 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 81 citations into it; #4,677 of 12,932 by trust here, #6,080 by citations
- Artificial Intelligence — 44 citations into it; #13,399 of 35,345 by trust here, #23,731 by citations
- Probabilistic & Bayesian Methods — 32 citations into it
- Causal Inference & Discovery — 27 citations into it
- Genetics — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Economics and Econometrics — 7 citations into it
Whom Yixin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Guido W. Imbens
- David M. Blei
- Rajesh Ranganath
- Paul R. Rosenbaum
- James M. Robins
- Andrew Gelman
- Judea Pearl
- Qingyuan Zhao
- Stefan Wager
Who trusts Yixin Wang overall
- Ioana Bica
- Rajesh Ranganath
- Ahmed M. Alaa
- Susan Athey
- Yash Deshpande
- David M. Blei
- Mihaela van der Schaar
- Adler J. Perotte
- Dehan Kong
- Stefan Wager
Papers from Yixin Wang's perspective
Ordered by how strongly the researchers Yixin Wang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- The Blessings of Multiple Causes (2018) — 320 citations
- Reweighted Data for Robust Probabilistic Models (2016) — 12 citations
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations (2017) — 129 citations
- Multiple Causes: A Causal Graphical View (2019) — 10 citations
- Approximate Balancing Weights: Characterizations from a Shrinkage Estimation Perspective (2017) — 7 citations