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On the Equivalence between Online and Private Learnability beyond Binary
  Classification
v1v2v3 (latest)

On the Equivalence between Online and Private Learnability beyond Binary Classification

2 June 2020
Young Hun Jung
Baekjin Kim
Ambuj Tewari
ArXiv (abs)PDFHTML

Papers citing "On the Equivalence between Online and Private Learnability beyond Binary Classification"

13 / 13 papers shown
Title
Private List Learnability vs. Online List Learnability
Private List Learnability vs. Online List Learnability
Steve Hanneke
Shay Moran
Hilla Schefler
Iska Tsubari
73
0
0
15 Jun 2025
Ramsey Theorems for Trees and a General 'Private Learning Implies Online
  Learning' Theorem
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem
Simone Fioravanti
Steve Hanneke
Shay Moran
Hilla Schefler
Iska Tsubari
CLL
100
4
0
10 Jul 2024
Statistical Indistinguishability of Learning Algorithms
Statistical Indistinguishability of Learning Algorithms
Alkis Kalavasis
Amin Karbasi
Shay Moran
Grigoris Velegkas
111
17
0
23 May 2023
Stability is Stable: Connections between Replicability, Privacy, and
  Adaptive Generalization
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization
Mark Bun
Marco Gaboardi
Max Hopkins
R. Impagliazzo
Rex Lei
T. Pitassi
Satchit Sivakumar
Jessica Sorrell
113
34
0
22 Mar 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis
  Classes
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes
Lunjia Hu
Charlotte Peale
85
8
0
16 Nov 2022
Differentially Private Nonparametric Regression Under a Growth Condition
Differentially Private Nonparametric Regression Under a Growth Condition
Noah Golowich
97
6
0
24 Nov 2021
Fast Rates for Nonparametric Online Learning: From Realizability to
  Learning in Games
Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
C. Daskalakis
Noah Golowich
105
25
0
17 Nov 2021
Multiclass versus Binary Differentially Private PAC Learning
Multiclass versus Binary Differentially Private PAC Learning
Mark Bun
Marco Gaboardi
Satchit Sivakumar
62
5
0
22 Jul 2021
Private learning implies quantum stability
Private learning implies quantum stability
Srinivasan Arunachalam
Yihui Quek
J. Smolin
92
19
0
14 Feb 2021
Majorizing Measures, Sequential Complexities, and Online Learning
Majorizing Measures, Sequential Complexities, and Online Learning
Adam Block
Y. Dagan
Alexander Rakhlin
85
13
0
02 Feb 2021
A Computational Separation between Private Learning and Online Learning
A Computational Separation between Private Learning and Online Learning
Mark Bun
FedML
78
10
0
11 Jul 2020
Near-tight closure bounds for Littlestone and threshold dimensions
Near-tight closure bounds for Littlestone and threshold dimensions
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
AI4CE
48
8
0
07 Jul 2020
On Learnability under General Stochastic Processes
On Learnability under General Stochastic Processes
A. Dawid
Ambuj Tewari
136
4
0
15 May 2020
1