Blog | Machine Learning | Carnegie Mellon University

A Continuous-Time View of Early Stopping for Least Squares (or: How I Learned to Stop Worrying and Love Early Stopping)

March 7, 2019

These days, it seems as though tools from statistics and machine learning are being used almost everywhere. Methods from the literature can now be seen on the critical path in a number of different fields and industries. A consequence of…

machine learning

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Contextual Parameter Generation for Neural Machine Translation

January 14, 2019

Machine translation is the problem of translating sentences from some source language to a target language. Neural machine translation (NMT), directly models the mapping of a source language to a target language without any need for training or tuning any…

deep learning machine learning machine translation natural language processing

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Massively Parallel Hyperparameter Optimization

December 12, 2018

Machine learning algorithms typically have configuration parameters, or hyperparameters, that influence their output and ultimately predictive accuracy (Melis et al., 2018). Some common examples of hyperparameters include learning rate, dropout, and activation function for neural networks, maximum tree depth…

automl machine learning

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Introducing the ML@CMU Blog

December 12, 2018

CMU is a leader in the field of machine learning research, both within the Machine Learning Department (MLD) and across the university in general. Traditional conference and journal publications, along with technical talks, are our primary avenues for disseminating our…

machine learning

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