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09/13/2020
Machine Learning's Dropout Training is Distributionally Robust Optimal
This paper shows that dropout training in Generalized Linear Models is t...
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10/29/2019
Secure and Efficient Federated Transfer Learning
Machine Learning models require a vast amount of data for accurate train...
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05/20/2019
A Distributionally Robust Boosting Algorithm
Distributionally Robust Optimization (DRO) has been shown to provide a f...
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09/18/2018
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization
Sequence generative models with RNN variants, such as LSTM, GRU, show pr...
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07/08/2018
Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings
Since the amount of information on the internet is growing rapidly, it i...
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05/19/2017
Doubly Robust Data-Driven Distributionally Robust Optimization
Data-driven Distributionally Robust Optimization (DD-DRO) via optimal tr...
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05/19/2017
Data-driven Optimal Transport Cost Selection for Distributionally Robust Optimizatio
Recently, (Blanchet, Kang, and Murhy 2016) showed that several machine l...
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02/28/2017
