Daniel Niels Holtmann-Rice

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 8

Top Topics

Signal Recovery

Individual Classifiers

Speech Recognition

Top Venues

Publications

Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Jiecao Chen, Sanjiv Kumar
Stochastic Negative Mining for Learning with Large Output Spaces. AISTATS (2019)
Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. NeurIPS (2019)
Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling. ICML (2019)
Ian En-Hsu Yen, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Sanjiv Kumar, Pradeep Ravikumar
Loss Decomposition for Fast Learning in Large Output Spaces. ICML (2018)
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
The Sparse Recovery Autoencoder. CoRR (2018)
Daniel Niels Holtmann-Rice, Benjamin S. Kunsberg, Steven W. Zucker
What's In A Patch, I: Tensors, Differential Geometry and Statistical Shading Analysis. CoRR (2017)
Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
Lattice rescoring strategies for long short term memory language models in speech recognition. ASRU (2017)
Benjamin S. Kunsberg, Daniel Niels Holtmann-Rice, Steven W. Zucker
What's In A Patch, II: Visualizing generic surfaces. CoRR (2017)