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Quadratic Memory is Necessary for Optimal Query Complexity in Convex
  Optimization: Center-of-Mass is Pareto-Optimal

Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal

9 February 2023
Moise Blanchard
Junhui Zhang
P. Jaillet
ArXivPDFHTML

Papers citing "Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal"

4 / 4 papers shown
Title
Memory-Query Tradeoffs for Randomized Convex Optimization
Memory-Query Tradeoffs for Randomized Convex Optimization
Xinyu Chen
Binghui Peng
36
6
0
21 Jun 2023
Near Optimal Memory-Regret Tradeoff for Online Learning
Near Optimal Memory-Regret Tradeoff for Online Learning
Binghui Peng
A. Rubinstein
CLL
28
10
0
03 Mar 2023
Efficient Convex Optimization Requires Superlinear Memory
Efficient Convex Optimization Requires Superlinear Memory
A. Marsden
Vatsal Sharan
Aaron Sidford
Gregory Valiant
29
14
0
29 Mar 2022
When is Memorization of Irrelevant Training Data Necessary for
  High-Accuracy Learning?
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
253
93
0
11 Dec 2020
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