Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 217,275,349 papers from all fields of science
Search
Sign In
Create Free Account
Sample complexity
The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
10 relations
Empirical risk minimization
No free lunch in search and optimization
Online machine learning
Probably approximately correct learning
Expand
Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Sample Complexity of Sinkhorn Divergences
Aude Genevay
,
Lénaïc Chizat
,
F. Bach
,
Marco Cuturi
,
G. Peyré
International Conference on Artificial…
2018
Corpus ID: 53641639
Optimal transport (OT) and maximum mean discrepancies (MMD) are now routinely used in machine learning to compare probability…
Expand
Highly Cited
2017
Highly Cited
2017
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean
,
Horia Mania
,
N. Matni
,
B. Recht
,
Stephen Tu
Foundations of Computational Mathematics
2017
Corpus ID: 870561
This paper addresses the optimal control problem known as the linear quadratic regulator in the case when the dynamics are…
Expand
Highly Cited
2014
Highly Cited
2014
The sample complexity of revenue maximization
R. Cole
,
Tim Roughgarden
Symposium on the Theory of Computing
2014
Corpus ID: 1378020
In the design and analysis of revenue-maximizing auctions, auction performance is typically measured with respect to a prior…
Expand
Highly Cited
2012
Highly Cited
2012
Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators
S. Flammia
,
D. Gross
,
Yi-Kai Liu
,
J. Eisert
2012
Corpus ID: 54989205
Intuitively, if a density operator has small rank, then it should be easier to estimate from experimental data, since in this…
Expand
Highly Cited
2010
Highly Cited
2010
The true sample complexity of active learning
Maria-Florina Balcan
,
Steve Hanneke
,
Jennifer Wortman Vaughan
Machine-mediated learning
2010
Corpus ID: 2044330
We describe and explore a new perspective on the sample complexity of active learning. In many situations where it was generally…
Expand
Highly Cited
2010
Highly Cited
2010
Sample Complexity of Testing the Manifold Hypothesis
Hariharan Narayanan
,
S. Mitter
Neural Information Processing Systems
2010
Corpus ID: 7645673
The hypothesis that high dimensional data tends to lie in the vicinity of a low dimensional manifold is the basis of a collection…
Expand
Highly Cited
2005
Highly Cited
2005
Coarse sample complexity bounds for active learning
S. Dasgupta
Neural Information Processing Systems
2005
Corpus ID: 12708424
We characterize the sample complexity of active learning problems in terms of a parameter which takes into account the…
Expand
Highly Cited
2004
Highly Cited
2004
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Shie Mannor
,
J. Tsitsiklis
Journal of machine learning research
2004
Corpus ID: 11718444
We consider the Multi-armed bandit problem under the PAC (“probably approximately correct”) model. It was shown by Even-Dar et al…
Expand
Highly Cited
2003
Highly Cited
2003
On the sample complexity of reinforcement learning.
S. Kakade
2003
Corpus ID: 260534783
This thesis is a detailed investigation into the following question: how much data must an agent collect in order to perform…
Expand
Highly Cited
1998
Highly Cited
1998
The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
P. Bartlett
IEEE Transactions on Information Theory
1998
Corpus ID: 685382
Sample complexity results from computational learning theory, when applied to neural network learning for pattern classification…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE
or Only Accept Required