Orthogonal Random Features. - Felix X. Yu; Ananda Theertha Suresh; Krzysztof Marcin Choromanski; Daniel N. Holtmann-Rice; Sanjiv Kumar (NIPS, 2016)

Lattice rescoring strategies for long short term memory language models in speech recognition. - Shankar Kumar; Michael Nirschl; Daniel Niels Holtmann-Rice; Hank Liao; Ananda Theertha Suresh; Felix X. Yu (ASRU, 2017)

Multiscale Quantization for Fast Similarity Search. - Xiang Wu; Ruiqi Guo; Ananda Theertha Suresh; Sanjiv Kumar; Daniel N. Holtmann-Rice; David Simcha; Felix X. Yu (NIPS, 2017)

What's In A Patch, I: Tensors, Differential Geometry and Statistical Shading Analysis. - Daniel Niels Holtmann-Rice; Benjamin S. Kunsberg; Steven W. Zucker (CoRR, 2017)

What's In A Patch, II: Visualizing generic surfaces. - Benjamin S. Kunsberg; Daniel Niels Holtmann-Rice; Steven W. Zucker (CoRR, 2017)

Loss Decomposition for Fast Learning in Large Output Spaces. - Ian En-Hsu Yen; Satyen Kale; Felix X. Yu; Daniel Niels Holtmann-Rice; Sanjiv Kumar; Pradeep Ravikumar (ICML, 2018)

The Sparse Recovery Autoencoder. - Shanshan Wu; Alexandros G. Dimakis; Sujay Sanghavi; Felix X. Yu; Daniel Niels Holtmann-Rice; Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (CoRR, 2018)

Tensors, Differential Geometry and Statistical Shading Analysis. - Daniel N. Holtmann-Rice; Benjamin S. Kunsberg; Steven W. Zucker (J. Math. Imaging Vis., 2018)

Stochastic Negative Mining for Learning with Large Output Spaces. - Sashank J. Reddi; Satyen Kale; Felix X. Yu; Daniel Niels Holtmann-Rice; Jiecao Chen; Sanjiv Kumar (AISTATS, 2019)

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling. - Shanshan Wu; Alex Dimakis; Sujay Sanghavi; Felix X. Yu; Daniel Niels Holtmann-Rice; Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (ICML, 2019)

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. - Chuan Guo 001; Ali Mousavi 003; Xiang Wu; Daniel Niels Holtmann-Rice; Satyen Kale; Sashank J. Reddi; Sanjiv Kumar (NeurIPS, 2019)