
Sibling Regression for Generalized Linear Models
Field observations form the basis of many scientific studies, especially...
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HighConfidence OffPolicy (or Counterfactual) Variance Estimation
Many sequential decisionmaking systems leverage data collected using pr...
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Bosonic Random Walk Networks for Graph Learning
The development of Graph Neural Networks (GNNs) has led to great progres...
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Threequarter Sibling Regression for Denoising Observational Data
Many ecological studies and conservation policies are based on field obs...
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Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Data augmentation is a popular preprocessing trick to improve generaliz...
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Optimizing for the Future in NonStationary MDPs
Most reinforcement learning methods are based upon the key assumption th...
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Differential Equation Units: Learning Functional Forms of Activation Functions from Data
Most deep neural networks use simple, fixed activation functions, such a...
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Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
Most deep neural networks use simple, fixed activation functions, such a...
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Generalizing Across Domains via CrossGradient Training
We present CROSSGRAD, a method to use multidomain training data to lear...
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Labeled Memory Networks for Online Model Adaptation
Augmenting a neural network with memory that can grow without growing th...
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Shiv Shankar
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