ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.01420
  4. Cited By
Detecting Correlations with Little Memory and Communication
v1v2 (latest)

Detecting Correlations with Little Memory and Communication

4 March 2018
Y. Dagan
Ohad Shamir
ArXiv (abs)PDFHTML

Papers citing "Detecting Correlations with Little Memory and Communication"

13 / 13 papers shown
Title
Near Optimal Memory-Regret Tradeoff for Online Learning
Near Optimal Memory-Regret Tradeoff for Online Learning
Binghui Peng
A. Rubinstein
CLL
79
10
0
03 Mar 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space
On Differential Privacy and Adaptive Data Analysis with Bounded Space
Itai Dinur
Uri Stemmer
David P. Woodruff
Samson Zhou
69
15
0
11 Feb 2023
Online Prediction in Sub-linear Space
Online Prediction in Sub-linear Space
Binghui Peng
Fred Zhang
73
16
0
16 Jul 2022
Communication-constrained hypothesis testing: Optimality, robustness,
  and reverse data processing inequalities
Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities
Ankit Pensia
Varun Jog
Po-Ling Loh
58
8
0
06 Jun 2022
Memory Bounds for the Experts Problem
Memory Bounds for the Experts Problem
Vaidehi Srinivas
David P. Woodruff
Ziyu Xu
Samson Zhou
49
19
0
21 Apr 2022
Efficient Convex Optimization Requires Superlinear Memory
Efficient Convex Optimization Requires Superlinear Memory
A. Marsden
Vatsal Sharan
Aaron Sidford
Gregory Valiant
76
15
0
29 Mar 2022
Distributed Sparse Normal Means Estimation with Sublinear Communication
Distributed Sparse Normal Means Estimation with Sublinear Communication
Chen Amiraz
Robert Krauthgamer
B. Nadler
FedML
46
2
0
05 Feb 2021
Gaussian Approximation of Quantization Error for Estimation from
  Compressed Data
Gaussian Approximation of Quantization Error for Estimation from Compressed Data
A. Kipnis
Galen Reeves
74
11
0
09 Jan 2020
Estimating Entropy of Distributions in Constant Space
Estimating Entropy of Distributions in Constant Space
Jayadev Acharya
Sourbh Bhadane
Piotr Indyk
Ziteng Sun
68
12
0
18 Nov 2019
Communication Complexity in Locally Private Distribution Estimation and
  Heavy Hitters
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
Jayadev Acharya
Ziteng Sun
92
60
0
28 May 2019
Memory-Sample Tradeoffs for Linear Regression with Small Error
Memory-Sample Tradeoffs for Linear Regression with Small Error
Vatsal Sharan
Aaron Sidford
Gregory Valiant
77
35
0
18 Apr 2019
Space lower bounds for linear prediction in the streaming model
Space lower bounds for linear prediction in the streaming model
Y. Dagan
Gil Kur
Ohad Shamir
48
24
0
09 Feb 2019
Fast Learning Requires Good Memory: A Time-Space Lower Bound for Parity
  Learning
Fast Learning Requires Good Memory: A Time-Space Lower Bound for Parity Learning
R. Raz
60
94
0
16 Feb 2016
1