Tobias Schmidt
with Athey · 2018
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Tobias Schmidt's perspective
Ordered by how strongly the researchers Tobias Schmidt trusts endorse each paper. Same corpus, a different order for every researcher.
- A Stochastic Approximation Method
- Stochastic variational inference
- Graphical Models, Exponential Families, and Variational Inference
- Doubly Stochastic Variational Bayes for non-Conjugate Inference
- Choice Map: Inferring a Product-Market Map from Panel Data
- Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)