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Intense recent discussions have focused on how to provide individuals with control over when their data can and cannot be used --- the EU's Right To Be Forgotten regulation is an example of this effort.
Communication theory of secrecy systems
C. E. Shannon · 1949
Earlier work this paper cites.
On estimating regression
E. A. Nadaraya · 1964
Earlier work this paper cites.
Distribution-free performance bounds for potential function rules
L. Devroye and T. Wagner · 1979
Earlier work this paper cites.
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
R. E. W. D. A. Belsley, E. Kuh · 1980
Earlier work this paper cites.
Alternative k-nearest neighbour rules in supervised pattern recognition: Part 1. k-nearest neighbour classification by using alternative voting rules
D. Coomans and D. L. Massart · 1982
Earlier work this paper cites.
Least squares quantization in pcm
S. Lloyd · 1982
Earlier work this paper cites.
Matrix computations
C. F. Van Loan and G. H. Golub · 1983
Earlier work this paper cites.
Extensions of lipschitz mappings into a hilbert space
W. B. Johnson and J. Lindenstrauss · 1984
Earlier work this paper cites.
Statistical Computation
J. H. Maindonald · 1984
Earlier work this paper cites.
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
P. J. Rousseeuw · 1987
Earlier work this paper cites.
An introduction to kernel and nearest-neighbor nonparametric regression
N. S. Altman · 1992
Earlier work this paper cites.
Optimization models for reliability of modular software systems
O. Berman and N. Ashrafi · 1993
Earlier work this paper cites.
Locally weighted learning for control
C. G. Atkeson, A. W. Moore, and S. Schaal · 1997
Earlier work this paper cites.
Online learning and stochastic approximations
L. Bottou · 1998
Earlier work this paper cites.
Quantization
R. M. Gray and D. L. Neuhoff · 1998
Earlier work this paper cites.
Cure: an efficient clustering algorithm for large databases
S. Guha, R. Rastogi, and K. Shim · 1998
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, et al · 1998
Earlier work this paper cites.
Lazy learning meets the recursive least squares algorithm
M. Birattari, G. Bontempi, and H. Bersini · 1999
Earlier work this paper cites.
Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables
J. A. Blackard and D. J. Dean · 1999
Earlier work this paper cites.
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
M. Kearns and D. Ron · 1999
Earlier work this paper cites.
Object recognition from local scale-invariant features
D. G. Lowe et al · 1999
Earlier work this paper cites.
Distributed computing
D. Peleg · 2000
Earlier work this paper cites.
The local paradigm for modeling and control: from neuro-fuzzy to lazy learning
G. Bontempi, H. Bersini, and M. Birattari · 2001
Earlier work this paper cites.
Incremental and decremental support vector machine learning
G. Cauwenberghs and T. Poggio · 2001
Earlier work this paper cites.
The elements of statistical learning
J. Friedman, T. Hastie, and R. Tibshirani · 2001
Earlier work this paper cites.
Accuracy and stability of numerical algorithms
N. J. Higham · 2002
Earlier work this paper cites.
Almost-everywhere algorithmic stability and generalization error: Tech. rep
S. Kutin and P. Niyogi · 2002
Earlier work this paper cites.
An elementary proof of a theorem of johnson and lindenstrauss
S. Dasgupta and A. Gupta · 2003
Earlier work this paper cites.
Estimating regression models with unknown break-points
V. M. Muggeo · 2003
Earlier work this paper cites.
General conditions for predictivity in learning theory
T. Poggio, R. Rifkin, S. Mukherjee, and P. Niyogi · 2004
Earlier work this paper cites.
Extremely randomized trees
P. Geurts, D. Ernst, and L. Wehenkel · 2006
Earlier work this paper cites.
Normalized mutual information based registration using k-means clustering and shading correction
Z. F. Knops, J. A. Maintz, M. A. Viergever, and J. P. Pluim · 2006
Cited alongside, same era.
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
S. Mukherjee, P. Niyogi, T. Poggio, and R. Rifkin · 2006
Cited alongside, same era.
k-means++: The advantages of careful seeding
D. Arthur and S. Vassilvitskii · 2007
Cited alongside, same era.
Denclue 2.0: Fast clustering based on kernel density estimation
A. Hinneburg and H.-H. Gabriel · 2007
Cited alongside, same era.
An overview of reservoir computing: theory, applications and implementations
B. Schrauwen, D. Verstraeten, and J. Van Campenhout · 2007
Cited alongside, same era.
Updating the qr factorization and the least squares problem
The algorithmic foundations of differential privacy
C. Dwork, A. Roth, et al · 2014
Later among the works it cites.
3d hand posture recognition from small unlabeled point sets
A. Gardner, C. A. Duncan, J. Kanno, and R. Selmic · 2014
Later among the works it cites.
Measuring distance between unordered sets of different sizes
A. Gardner, J. Kanno, C. A. Duncan, and R. Selmic · 2014
Later among the works it cites.
Incremental and decremental training for linear classification
C.-H. Tsai, C.-Y. Lin, and C.-J. Lin · 2014
Later among the works it cites.
Machine learning classification over encrypted data
R. Bost, R. A. Popa, S. Tu, and S. Goldwasser · 2015
Later among the works it cites.
Towards making systems forget with machine unlearning
Y. Cao and J. Yang · 2015
Later among the works it cites.
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S. Hammarling and C. Lucas · 2008
Cited alongside, same era.
Closed-form expressions for the moments of the binomial probability distribution
A. Knoblauch · 2008
Cited alongside, same era.
Segmented: an r package to fit regression models with broken-line relationships
V. M. Muggeo et al · 2008
Cited alongside, same era.
Random features for large-scale kernel machines
A. Rahimi and B. Recht · 2008
Cited alongside, same era.
Np-hardness of euclidean sum-of-squares clustering
D. Aloise, A. Deshpande, P. Hansen, and P. Popat · 2009
Cited alongside, same era.
Parallel k-means clustering based on mapreduce
W. Zhao, H. Ma, and Q. He · 2009
Cited alongside, same era.
Learnability, stability and uniform convergence
S. Shalev-Shwartz, O. Shamir, N. Srebro, and K. Sridharan · 2010
Cited alongside, same era.
Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age
C. Sudlow, J. Gallacher, N. Allen, V. Beral, P. Burton, J. Danesh, P. Downey, P. Elliott, J. Green, M. Landray, et al · 2015
Later among the works it cites.
Deep learning with differential privacy
M. Abadi, A. Chu, I. Goodfellow, H. B. McMahan, I. Mironov, K. Talwar, and L. Zhang · 2016
Later among the works it cites.
Council regulation (eu) no 2016/678, 2014
Council of European Union · 2016
Later among the works it cites.
Population structure of uk biobank and ancient eurasians reveals adaptation at genes influencing blood pressure
K. J. Galinsky, P.-R. Loh, S. Mallick, N. J. Patterson, and A. L. Price · 2016
Later among the works it cites.
Fixed point quantization of deep convolutional networks
D. Lin, S. Talathi, and S. Annapureddy · 2016
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Testing with a nuisance parameter present only under the alternative: a score-based approach with application to segmented modelling
V. M. Muggeo · 2016
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Oblivious multi-party machine learning on trusted processors
O. Ohrimenko, F. Schuster, C. Fournet, A. Mehta, S. Nowozin, K. Vaswani, and M. Costa · 2016
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Semi-supervised knowledge transfer for deep learning from private training data
N. Papernot, M. Abadi, U. Erlingsson, I. Goodfellow, and K. Talwar · 2016
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Distributed k k -means algorithm and fuzzy c c -means algorithm for sensor networks based on multiagent consensus theory
J. Qin, W. Fu, H. Gao, and W. X. Zheng · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
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Distributed and provably good seedings for k-means in constant rounds
O. Bachem, M. Lucic, and A. Krause · 2017
Later among the works it cites.
Practical secure aggregation for privacy-preserving machine learning
K. Bonawitz, V. Ivanov, B. Kreuter, A. Marcedone, H. B. McMahan, S. Patel, D. Ramage, A. Segal, and K. Seth · 2017
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In-datacenter performance analysis of a tensor processing unit
N. P. Jouppi, C. Young, N. Patil, D. Patterson, G. Agrawal, R. Bajwa, S. Bates, S. Bhatia, N. Boden, A. Borchers, et al · 2017
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Updating qr factorization procedure for solution of linear least squares problem with equality constraints
S. Zeb and M. Yousaf · 2017
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Implementation and evaluation of an algorithm for cryptographically private principal component analysis on genomic data
D. Bogdanov, L. Kamm, S. Laur, and V. Sokk · 2018
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Ristretto: A framework for empirical study of resource-efficient inference in convolutional neural networks
P. Gysel, J. Pimentel, M. Motamedi, and S. Ghiasi · 2018
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Mapping the mouse cell atlas by microwell-seq
X. Han, R. Wang, Y. Zhou, L. Fei, H. Sun, S. Lai, A. Saadatpour, Z. Zhou, H. Chen, F. Ye, et al · 2018
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N-baiot—network-based detection of iot botnet attacks using deep autoencoders
Y. Meidan, M. Bohadana, Y. Mathov, Y. Mirsky, A. Shabtai, D. Breitenbacher, and Y. Elovici · 2018
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Quantized compressive k-means
V. Schellekens and L. Jacques · 2018
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Algorithms that remember: model inversion attacks and data protection law
M. Veale, R. Binns, and L. Edwards · 2018
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Humans forget, machines remember: Artificial intelligence and the right to be forgotten
E. F. Villaronga, P. Kieseberg, and T. Li · 2018
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Low-precision random fourier features for memory-constrained kernel approximation
J. Zhang, A. May, T. Dao, and C. Ré · 2018
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Data shapley: Equitable valuation of data for machine learning
A. Ghorbani and J. Zou · 2019
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“amnesia”–towards machine learning models that can forget user data very fast
S. Schelter · 2019
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