Daniel Niels Holtmann-Rice

According to our database, Daniel Niels Holtmann-Rice authored at least 11 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces.

Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Tensors, Differential Geometry and Statistical Shading Analysis.

Daniel N. Holtmann-Rice, Benjamin S. Kunsberg, Steven W. Zucker

J. Math. Imaging Vis., 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

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

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

What's In A Patch, II: Visualizing generic surfaces.

Benjamin S. Kunsberg, Daniel Niels Holtmann-Rice, Steven W. Zucker

CoRR, 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

Multiscale Quantization for Fast Similarity Search.

Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Daniel N. Holtmann-Rice, David Simcha, Felix X. Yu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Orthogonal Random Features.

Felix X. Yu, Ananda Theertha Suresh, Krzysztof Marcin Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016