Papers citing 'Distributed Nonparametric Regression under Communication Constraints'

Title
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity Ivan Lau Jonathan Scarlett 92 1 0 26 Sep 2025
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample RegimeNeural Information Processing Systems (NeurIPS), 2024 Lasse Vuursteen 181 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 278 8 0 10 Jun 2024
Optimal testing using combined test statistics across independent studiesNeural Information Processing Systems (NeurIPS), 2023 Botond Szabó A. van der Vaart Lasse Vuursteen Harry Van Zanten 159 2 0 30 Oct 2023
Optimal high-dimensional and nonparametric distributed testing under communication constraintsAnnals of Statistics (Ann. Stat.), 2022 Botond Szabó Lasse Vuursteen Harry Van Zanten 353 12 0 02 Feb 2022
Optimal Rates for Nonparametric Density Estimation under Communication ConstraintsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021 Jayadev Acharya C. Canonne Aditya Singh Himanshu Tyagi OT 176 15 0 21 Jul 2021
A Few Interactions Improve Distributed Nonparametric Estimation, OptimallyIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021 Jingbo Liu 386 3 0 01 Jul 2021
Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of AdaptationAnnals of Statistics (Ann. Stat.), 2021 AI T.TONYC EI Hongjiw 123 11 0 01 Jul 2021
Distributed Learning Systems with First-order Methods Ji Liu Ce Zhang 153 46 0 12 Apr 2021
Distributed Sparse Normal Means Estimation with Sublinear Communication Chen Amiraz Robert Krauthgamer B. Nadler FedML 181 3 0 05 Feb 2021
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communicationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 Botond Szabó Lasse Vuursteen Harry Van Zanten 231 7 0 09 Dec 2020
Distributed function estimation: adaptation using minimal communicationMathematical Statistics and Learning (MSL), 2020 Botond Szabó Harry Van Zanten 189 15 0 28 Mar 2020
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient AlgorithmsJournal of machine learning research (JMLR), 2020 T. Tony Cai Hongjie Wei 133 30 0 24 Jan 2020
Communication and Memory Efficient Testing of Discrete DistributionsAnnual Conference Computational Learning Theory (COLT), 2019 Ilias Diakonikolas Themis Gouleakis D. Kane Sankeerth Rao 128 27 0 11 Jun 2019
Inference under Information Constraints II: Communication Constraints and Shared RandomnessIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019 Jayadev Acharya C. Canonne Himanshu Tyagi 216 58 0 20 May 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensionsInternational Conference on Machine Learning (ICML), 2019 Guang Cheng Yueqi Sheng OffRL 211 50 0 22 Mar 2019
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication Sindri Magnússon H. S. Ghadikolaei Na Li 283 85 0 26 Feb 2019
Nonparametric Inference under B-bits Quantization Kexuan Li Ruiqi Liu Ganggang Xu Zuofeng Shang MQ 168 0 0 24 Jan 2019
Distributed linear regression by averaging Guang Cheng Yueqi Sheng FedML 270 73 0 30 Sep 2018
Adaptive distributed methods under communication constraints Botond Szabó Harry Van Zanten 201 27 0 03 Apr 2018
An asymptotic analysis of distributed nonparametric methods Botond Szabó Harry Van Zanten 175 48 0 08 Nov 2017