مقاله‌های دارای تعهدات انتشار عمومی - Ananda Theertha Sureshبیشتر بدانید
جای دیگری دردسترس است: ۲۱
Remember what you want to forget: Algorithms for machine unlearning
A Sekhari, J Acharya, G Kamath, AT Suresh
Advances in Neural Information Processing Systems 34, 18075-18086, 2021
تعهدات: US National Science Foundation, Natural Sciences and Engineering Research …
Fedboost: A communication-efficient algorithm for federated learning
J Hamer, M Mohri, AT Suresh
International Conference on Machine Learning, 3973-3983, 2020
تعهدات: US National Science Foundation
Shuffled model of differential privacy in federated learning
A Girgis, D Data, S Diggavi, P Kairouz, AT Suresh
International Conference on Artificial Intelligence and Statistics, 2521-2529, 2021
تعهدات: US National Science Foundation
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
تعهدات: US National Science Foundation
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in neural information processing systems 30, 2017
تعهدات: US National Science Foundation, US Department of Defense
Shuffled model of federated learning: Privacy, accuracy and communication trade-offs
AM Girgis, D Data, S Diggavi, P Kairouz, AT Suresh
IEEE journal on selected areas in information theory 2 (1), 464-478, 2021
تعهدات: US National Science Foundation
Maximum selection and ranking under noisy comparisons
M Falahatgar, A Orlitsky, V Pichapati, AT Suresh
International Conference on Machine Learning, 1088-1096, 2017
تعهدات: US National Science Foundation
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
تعهدات: US National Science Foundation
On the renyi differential privacy of the shuffle model
AM Girgis, D Data, S Diggavi, AT Suresh, P Kairouz
Proceedings of the 2021 ACM SIGSAC conference on computer and communications …, 2021
تعهدات: US National Science Foundation
Maximum selection and sorting with adversarial comparators
J Acharya, M Falahatgar, A Jafarpour, A Orlitsky, AT Suresh
Journal of Machine Learning Research 19 (59), 1-31, 2018
تعهدات: US National Science Foundation
Sample complexity of population recovery
Y Polyanskiy, AT Suresh, Y Wu
Conference on Learning Theory, 1589-1618, 2017
تعهدات: US National Science Foundation
Wyner-Ziv estimators: Efficient distributed mean estimation with side-information
P Mayekar, AT Suresh, H Tyagi
International Conference on Artificial Intelligence and Statistics, 3502-3510, 2021
تعهدات: Department of Science & Technology, India
Robust estimation for random graphs
J Acharya, A Jain, G Kamath, AT Suresh, H Zhang
Conference on Learning Theory, 130-166, 2022
تعهدات: US National Science Foundation, Natural Sciences and Engineering Research …
Differentially private learning with margin guarantees
R Bassily, M Mohri, AT Suresh
Advances in Neural Information Processing Systems 35, 32127-32141, 2022
تعهدات: US National Science Foundation
Optimal multiclass overfitting by sequence reconstruction from hamming queries
J Acharya, AT Suresh
Algorithmic Learning Theory, 3-21, 2020
تعهدات: US National Science Foundation
Interplay between optimal selection scheme, selection criterion, and discrete rate adaptation in opportunistic wireless systems
NB Mehta, R Talak, AT Suresh
IEEE transactions on communications 61 (7), 2735-2745, 2013
تعهدات: Department of Science & Technology, India, UK Engineering and Physical …
Boosting with multiple sources
C Cortes, M Mohri, D Storcheus, AT Suresh
Advances in Neural Information Processing Systems 34, 17373-17387, 2021
تعهدات: US National Science Foundation
Principled approaches for private adaptation from a public source
R Bassily, M Mohri, AT Suresh
International Conference on Artificial Intelligence and Statistics, 8405-8432, 2023
تعهدات: US National Science Foundation
Open problem: Better differentially private learning algorithms with margin guarantees
R Bassily, M Mohri, AT Suresh
Conference on Learning Theory, 5638-5643, 2022
تعهدات: US National Science Foundation
Concentration bounds for discrete distribution estimation in KL divergence
CL Canonne, Z Sun, AT Suresh
2023 IEEE International Symposium on Information Theory (ISIT), 2093-2098, 2023
تعهدات: Australian Research Council
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