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1803.01302
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Distributed Nonparametric Regression under Communication Constraints
4 March 2018
Yuancheng Zhu
John D. Lafferty
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Papers citing
"Distributed Nonparametric Regression under Communication Constraints"
21 / 21 papers shown
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
Ivan Lau
Jonathan Scarlett
152
3
0
26 Sep 2025
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
Neural Information Processing Systems (NeurIPS), 2024
Lasse Vuursteen
247
1
0
02 Nov 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
T. T. Cai
Abhinav Chakraborty
Lasse Vuursteen
FedML
351
9
0
10 Jun 2024
Optimal testing using combined test statistics across independent studies
Neural Information Processing Systems (NeurIPS), 2023
Botond Szabó
A. van der Vaart
Lasse Vuursteen
Harry Van Zanten
287
2
0
30 Oct 2023
Optimal high-dimensional and nonparametric distributed testing under communication constraints
Annals of Statistics (Ann. Stat.), 2022
Botond Szabó
Lasse Vuursteen
Harry Van Zanten
457
12
0
02 Feb 2022
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Jayadev Acharya
C. Canonne
Aditya Singh
Himanshu Tyagi
OT
262
15
0
21 Jul 2021
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Jingbo Liu
498
3
0
01 Jul 2021
Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation
Annals of Statistics (Ann. Stat.), 2021
AI T.TONYC
EI Hongjiw
148
11
0
01 Jul 2021
Distributed Learning Systems with First-order Methods
Ji Liu
Ce Zhang
244
47
0
12 Apr 2021
Distributed Sparse Normal Means Estimation with Sublinear Communication
Chen Amiraz
Robert Krauthgamer
B. Nadler
FedML
284
4
0
05 Feb 2021
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Botond Szabó
Lasse Vuursteen
Harry Van Zanten
298
7
0
09 Dec 2020
Distributed function estimation: adaptation using minimal communication
Mathematical Statistics and Learning (MSL), 2020
Botond Szabó
Harry Van Zanten
364
15
0
28 Mar 2020
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
Journal of machine learning research (JMLR), 2020
T. Tony Cai
Hongjie Wei
211
30
0
24 Jan 2020
Communication and Memory Efficient Testing of Discrete Distributions
Annual Conference Computational Learning Theory (COLT), 2019
Ilias Diakonikolas
Themis Gouleakis
D. Kane
Sankeerth Rao
182
30
0
11 Jun 2019
Inference under Information Constraints II: Communication Constraints and Shared Randomness
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Jayadev Acharya
C. Canonne
Himanshu Tyagi
363
62
0
20 May 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensions
International Conference on Machine Learning (ICML), 2019
Guang Cheng
Yueqi Sheng
OffRL
345
49
0
22 Mar 2019
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
Sindri Magnússon
H. S. Ghadikolaei
Na Li
335
86
0
26 Feb 2019
Nonparametric Inference under B-bits Quantization
Kexuan Li
Ruiqi Liu
Ganggang Xu
Zuofeng Shang
MQ
204
0
0
24 Jan 2019
Distributed linear regression by averaging
Guang Cheng
Yueqi Sheng
FedML
464
75
0
30 Sep 2018
Adaptive distributed methods under communication constraints
Botond Szabó
Harry Van Zanten
250
28
0
03 Apr 2018
An asymptotic analysis of distributed nonparametric methods
Botond Szabó
Harry Van Zanten
240
50
0
08 Nov 2017
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