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Found 4 papers, 2 papers with code
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes
Learning heterogeneous treatment effects (HTEs) is an important problem across many fields.
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
In the era of ever decreasing loss functions, SGD and its various offspring have become the go-to optimization tool in machine learning and are a key component of the success of deep neural networks (DNNs).
"Other-Play" for Zero-Shot Coordination
We consider the problem of zero-shot coordination - constructing AI agents that can coordinate with novel partners they have not seen before (e. g. humans).
PyTorch-BigGraph: A Large-scale Graph Embedding System
Graph embedding methods produce unsupervised node features from graphs that can then be used for a variety of machine learning tasks.
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