Memory-Sample Tradeoffs for Linear Regression with Small Error

v1v2 (latest)

Memory-Sample Tradeoffs for Linear Regression with Small Error

18 April 2019

Gregory Valiant

ArXiv (abs)PDF HTML

Papers citing "Memory-Sample Tradeoffs for Linear Regression with Small Error"

8 / 8 papers shown

Title
Tight Time-Space Lower Bounds for Constant-Pass Learning Xin Lyu Avishay Tal Hongxun Wu Junzhao Yang 85 1 0 12 Oct 2023
Near Optimal Memory-Regret Tradeoff for Online Learning Binghui Peng A. Rubinstein CLL 79 10 0 03 Mar 2023
Online Prediction in Sub-linear Space Binghui Peng Fred Zhang 73 16 0 16 Jul 2022
Estimation of Entropy in Constant Space with Improved Sample Complexity Maryam Aliakbarpour A. Mcgregor Jelani Nelson Erik Waingarten 83 9 0 19 May 2022
Memory Bounds for Continual Learning Xi Chen Christos H. Papadimitriou Binghui Peng CLL LRM 74 24 0 22 Apr 2022
Efficient Convex Optimization Requires Superlinear Memory A. Marsden Vatsal Sharan Aaron Sidford Gregory Valiant 76 15 0 29 Mar 2022
Exponential separations between learning with and without quantum memory Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jingkai Li 99 117 0 10 Nov 2021
Space lower bounds for linear prediction in the streaming model Y. Dagan Gil Kur Ohad Shamir 60 24 0 09 Feb 2019