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05/27/2019
Distributionally Robust Optimization and Generalization in Kernel Methods
Distributionally robust optimization (DRO) has attracted attention in ma...
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01/26/2019
Escaping Saddle Points with Adaptive Gradient Methods
Adaptive methods such as Adam and RMSProp are widely used in deep learni...
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12/31/2018
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
Leveraging new data sources is a key step in accelerating the pace of ma...
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02/14/2018
Distributionally Robust Submodular Maximization
Submodular functions have applications throughout machine learning, but ...
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05/21/2017
Parallel Streaming Wasserstein Barycenters
Efficiently aggregating data from different sources is a challenging pro...
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02/28/2017