Ananda Theertha Suresh
Ananda Theertha Suresh
Senior Research Scientist, Google New York
Verified email at google.com - Homepage
TitleCited byYear
Federated learning: Strategies for improving communication efficiency
J Konečný, HB McMahan, FX Yu, P Richtárik, AT Suresh, D Bacon
arXiv preprint arXiv:1610.05492, 2016
3932016
Orthogonal random features
XY Felix, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar
Advances in Neural Information Processing Systems, 1975-1983, 2016
84*2016
Optimal prediction of the number of unseen species
A Orlitsky, AT Suresh, Y Wu
Proceedings of the National Academy of Sciences 113 (47), 13283-13288, 2016
652016
Distributed mean estimation with limited communication
AT Suresh, FX Yu, S Kumar, HB McMahan
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
592017
On learning distributions from their samples
S Kamath, A Orlitsky, D Pichapati, AT Suresh
Conference on Learning Theory, 1066-1100, 2015
562015
Strong secrecy for erasure wiretap channels
AT Suresh, A Subramanian, A Thangaraj, M Bloch, SW McLaughlin
2010 IEEE Information Theory Workshop, 1-5, 2010
522010
The complexity of estimating Rényi entropy
J Acharya, A Orlitsky, AT Suresh, H Tyagi
Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014
492014
Near-optimal-sample estimators for spherical gaussian mixtures
AT Suresh, A Orlitsky, J Acharya, A Jafarpour
Advances in Neural Information Processing Systems, 1395-1403, 2014
452014
Competitive distribution estimation: Why is good-turing good
A Orlitsky, AT Suresh
Advances in Neural Information Processing Systems, 2143-2151, 2015
442015
cpSGD: Communication-efficient and differentially-private distributed SGD
N Agarwal, AT Suresh, FXX Yu, S Kumar, B McMahan
Advances in Neural Information Processing Systems, 7564-7575, 2018
392018
Estimating Rényi entropy of discrete distributions
J Acharya, A Orlitsky, AT Suresh, H Tyagi
IEEE Transactions on Information Theory 63 (1), 38-56, 2016
322016
A unified maximum likelihood approach for estimating symmetric properties of discrete distributions
J Acharya, H Das, A Orlitsky, AT Suresh
International Conference on Machine Learning, 11-21, 2017
30*2017
Competitive classification and closeness testing
J Acharya, H Das, A Jafarpour, A Orlitsky, S Pan, A Suresh
Conference on Learning Theory, 22.1-22.18, 2012
302012
Optimal probability estimation with applications to prediction and classification
J Acharya, A Jafarpour, A Orlitsky, AT Suresh
Conference on Learning Theory, 764-796, 2013
282013
Multiscale quantization for fast similarity search
X Wu, R Guo, AT Suresh, S Kumar, DN Holtmann-Rice, D Simcha, F Yu
Advances in Neural Information Processing Systems, 5745-5755, 2017
262017
Agnostic federated learning
M Mohri, G Sivek, AT Suresh
arXiv preprint arXiv:1902.00146, 2019
212019
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in neural information processing systems, 2951-2961, 2017
202017
A competitive test for uniformity of monotone distributions
J Acharya, A Jafarpour, A Orlitsky, A Suresh
Artificial Intelligence and Statistics, 57-65, 2013
202013
Maximum selection and ranking under noisy comparisons
M Falahatgar, A Orlitsky, V Pichapati, AT Suresh
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
182017
Sorting with adversarial comparators and application to density estimation
J Acharya, A Jafarpour, A Orlitsky, AT Suresh
2014 IEEE International Symposium on Information Theory, 1682-1686, 2014
182014
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