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Statistical Indistinguishability of Learning Algorithms

Statistical Indistinguishability of Learning Algorithms

23 May 2023
Alkis Kalavasis
Amin Karbasi
Shay Moran
Grigoris Velegkas
ArXivPDFHTML

Papers citing "Statistical Indistinguishability of Learning Algorithms"

15 / 15 papers shown
Title
Generalizability of experimental studies
Generalizability of experimental studies
Federico Matteucci
Vadim Arzamasov
Jose Cribeiro-Ramallo
Marco Heyden
Konstantin Ntounas
Klemens Bohm
40
0
0
25 Jun 2024
Replicability in High Dimensional Statistics
Replicability in High Dimensional Statistics
Max Hopkins
R. Impagliazzo
Daniel Kane
Sihan Liu
Christopher Ye
17
2
0
04 Jun 2024
On the Computational Landscape of Replicable Learning
On the Computational Landscape of Replicable Learning
Alkis Kalavasis
Amin Karbasi
Grigoris Velegkas
Felix Y. Zhou
27
2
0
24 May 2024
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping
Umut Simsekli
Mert Gurbuzbalaban
S. Yıldırım
Lingjiong Zhu
30
2
0
04 Mar 2024
Replicable Learning of Large-Margin Halfspaces
Replicable Learning of Large-Margin Halfspaces
Alkis Kalavasis
Amin Karbasi
Kasper Green Larsen
Grigoris Velegkas
Felix Y. Zhou
19
8
0
21 Feb 2024
Replicability is Asymptotically Free in Multi-armed Bandits
Replicability is Asymptotically Free in Multi-armed Bandits
Junpei Komiyama
Shinji Ito
Yuichi Yoshida
Souta Koshino
16
1
0
12 Feb 2024
The Bayesian Stability Zoo
The Bayesian Stability Zoo
Shay Moran
Hilla Schefler
Jonathan Shafer
13
6
0
27 Oct 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient
  Complexity in Convex Optimization
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang
Junchi Yang
Amin Karbasi
Niao He
11
2
0
26 Oct 2023
Simple online learning with consistent oracle
Simple online learning with consistent oracle
A. Kozachinskiy
Tomasz Steifer
CLL
13
2
0
15 Aug 2023
Optimal Learners for Realizable Regression: PAC Learning and Online
  Learning
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
Idan Attias
Steve Hanneke
Alkis Kalavasis
Amin Karbasi
Grigoris Velegkas
14
21
0
07 Jul 2023
Replicability in Reinforcement Learning
Replicability in Reinforcement Learning
Amin Karbasi
Grigoris Velegkas
Lin F. Yang
Felix Y. Zhou
14
11
0
31 May 2023
Replicable Reinforcement Learning
Replicable Reinforcement Learning
Eric Eaton
Marcel Hussing
Michael Kearns
Jessica Sorrell
OffRL
11
13
0
24 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
17
29
0
22 Mar 2023
Replicable Clustering
Replicable Clustering
Hossein Esfandiari
Amin Karbasi
Vahab Mirrokni
Grigoris Velegkas
Felix Y. Zhou
16
13
0
20 Feb 2023
On the Statistical Complexity of Estimation and Testing under Privacy
  Constraints
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
16
7
0
05 Oct 2022
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