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Daniel Holtmann-Rice

3 papers

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papers

Publications (3)

stat.ML2017

Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition

Shankar Kumar, Michael Nirschl, Daniel Holtmann-Rice +3

Recurrent neural network (RNN) language models (LMs) and Long Short Term Memory (LSTM) LMs, a variant of RNN LMs, have been shown to outperform traditional N-gram LMs on speech rec…

cs.LG2016

Orthogonal Random Features

Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski +2

We present an intriguing discovery related to Random Fourier Features: in Gaussian kernel approximation, replacing the random Gaussian matrix by a properly scaled random orthogonal…

stat.ML2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling

Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi +5

Linear encoding of sparse vectors is widely popular, but is commonly data-independent -- missing any possible extra (but a priori unknown) structure beyond sparsity. In this paper…

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