NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (32)

cs.SD2017

Now Playing: Continuous low-power music recognition

Blaise Agüera y Arcas, Beat Gfeller, Ruiqi Guo +8

stat.ML2018

cpSGD: Communication-efficient and differentially-private distributed SGD

Naman Agarwal, Ananda Theertha Suresh, Felix Yu +2

cond-mat.mtrl-sci2016

Study of ZrO2 Thin Films Deposited at Glancing Angle by Magnetron Sputtering under Varying Substrate Rotation

R. B. Tokas, S. Jena, J. S. Mishal +7

cs.LG2016

Binary embeddings with structured hashed projections

Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski +3

stat.ML2015

On Learning from Label Proportions

Felix X. Yu, Krzysztof Choromanski, Sanjiv Kumar +2

stat.ML2015

Structured Transforms for Small-Footprint Deep Learning

Vikas Sindhwani, Tara N. Sainath, Sanjiv Kumar

cs.LG2019

Efficient Inner Product Approximation in Hybrid Spaces

Xiang Wu, Ruiqi Guo, David Simcha +2

cs.LG2013

$\propto$SVM for learning with label proportions

Felix X. Yu, Dong Liu, Sanjiv Kumar +2

cs.LG2016

Orthogonal Random Features

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

cs.LG2012

On the Difficulty of Nearest Neighbor Search

Junfeng He, Sanjiv Kumar, Shih-Fu Chang

cs.LG2012

Compact Hyperplane Hashing with Bilinear Functions

Wei Liu, Jun Wang, Yadong Mu +2

cs.DS2015

On Binary Embedding using Circulant Matrices

Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar +2

cs.AI2015

Quantization based Fast Inner Product Search

Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski +1

cs.LG2017

Distributed Mean Estimation with Limited Communication

Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar +1

stat.ML2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling

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

cs.LG2019

Local Orthogonal Decomposition for Maximum Inner Product Search

Xiang Wu, Ruiqi Guo, Sanjiv Kumar +1

cs.CL2017

Efficient Natural Language Response Suggestion for Smart Reply

Matthew Henderson, Rami Al-Rfou, Brian Strope +6

cs.CV2017

Learning Spread-out Local Feature Descriptors

Xu Zhang, Felix X. Yu, Sanjiv Kumar +1

cs.LG2017

Stochastic Generative Hashing

Bo Dai, Ruiqi Guo, Sanjiv Kumar +2

cs.LG2015

Learning to Hash for Indexing Big Data - A Survey

Jun Wang, Wei Liu, Sanjiv Kumar +1

stat.ML2015

Compact Nonlinear Maps and Circulant Extensions

Felix X. Yu, Sanjiv Kumar, Henry Rowley +1

cs.CR2019

Privacy and Utility Tradeoff in Approximate Differential Privacy

Quan Geng, Wei Ding, Ruiqi Guo +1

cs.LG2018

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks

Patrick H. Chen, Si Si, Sanjiv Kumar +2

cond-mat.soft2017

Statistical mechanics of a polymer chain attached to the interface of a cone-shaped channel

Sanjay Kumar, Sanjiv Kumar, Debaprasad Giri +1

cs.CR2019

Optimal Noise-Adding Mechanism in Additive Differential Privacy

Quan Geng, Wei Ding, Ruiqi Guo +1

cs.LG2018

Nonlinear Online Learning with Adaptive Nyström Approximation

Si Si, Sanjiv Kumar, Yang Li

stat.ML2014

Circulant Binary Embedding

Felix X. Yu, Sanjiv Kumar, Yunchao Gong +1

cs.CV2015

An exploration of parameter redundancy in deep networks with circulant projections

Yu Cheng, Felix X. Yu, Rogerio S. Feris +3

cs.LG2019

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Xuanqing Liu, Tesi Xiao, Si Si +3

cs.AI2015

Fast Online Clustering with Randomized Skeleton Sets

Krzysztof Choromanski, Sanjiv Kumar, Xiaofeng Liu

cs.LG2018

Stochastic Negative Mining for Learning with Large Output Spaces

Sashank J. Reddi, Satyen Kale, Felix Yu +3

cs.LG2019

On the Convergence of Adam and Beyond

Sashank J. Reddi, Satyen Kale, Sanjiv Kumar