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We consider the task of estimating a conditional density using i.i.d.
G. Kur, Y. Dagan, and A. Rakhlin · 1903
Earlier work this paper cites.
Convergence of estimates under dimensionality restrictions
L. Le Cam · 1973
Earlier work this paper cites.
Metric entropy of some classes of sets with differentiable boundaries
R. M. Dudley · 1974
Earlier work this paper cites.
Lower bounds for nonparametric density estimation rates
D. W. Boyd and J. M. Steele · 1978
Earlier work this paper cites.
Optimal rates of convergence for nonparametric estimators
C. J. Stone · 1980
Earlier work this paper cites.
Nonparametric maximum likelihood estimation by the method of sieves
S. Geman and C.-R. Hwang · 1982
Earlier work this paper cites.
Approximation dans les espaces métriques et théorie de l’estimation
L. Birgé · 1983
Earlier work this paper cites.
On arbitrarily slow rates of global convergence in density estimation
L. Devroye · 1983
Earlier work this paper cites.
Estimation of distribution density
I. A. Ibragimov and R. Z. Khas’minskii · 1983
Earlier work this paper cites.
Universal coding, information, prediction, and estimation
J. Rissanen · 1984
Earlier work this paper cites.
Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
L. Fahrmeir and H. Kaufmann · 1985
Earlier work this paper cites.
On estimating a density using Hellinger distance and some other strange facts
L. Birgé · 1986
Earlier work this paper cites.
Empirical Processes with Applications to Statistics
G. R. Shorack and J. A. Wellner · 1986
Earlier work this paper cites.
Estimating a density under order restrictions: Nonasymptotic minimax risk
L. Birgé · 1987
Earlier work this paper cites.
Generalized Linear Models
P. McCullagh and J. A. Nelder · 1989
Earlier work this paper cites.
Estimating a regression function
S. van de Geer · 1990
Earlier work this paper cites.
Universal portfolios
T. M. Cover · 1991
Earlier work this paper cites.
Elements of Information Theory
T. M. Cover and J. A. Thomas · 1991
Earlier work this paper cites.
Decision theoretic generalizations of the PAC model for neural net and other learning applications
D. Haussler · 1992
Earlier work this paper cites.
Rates of convergence for minimum contrast estimators
L. Birgé and P. Massart · 1993
Earlier work this paper cites.
Convergence rate of sieve estimates
X. Shen and W. H. Wong · 1994
Earlier work this paper cites.
Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
W. H. Wong and X. Shen · 1995
Earlier work this paper cites.
Weak Convergence and Empirical Processes
A. W. van der Vaart and J. A. Wellner · 1996
Earlier work this paper cites.
Covering numbers for real-valued function classes
P. L. Bartlett, S. R. Kulkarni, and S. E. Posner · 1997
Earlier work this paper cites.
On methods of sieves and penalization
X. Shen · 1997
Earlier work this paper cites.
The minimum description length principle in coding and modeling
A. R. Barron, J. Rissanen, and B. Yu · 1998
Earlier work this paper cites.
The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
P. L. Bartlett · 1998
Earlier work this paper cites.
Minimum contrast estimators on sieves: Exponential bounds and rates of convergence
L. Birgé and P. Massart · 1998
Earlier work this paper cites.
An asymptotic property of model selection criteria
Y. Yang and A. R. Barron · 1998
Earlier work this paper cites.
Minimax regret under log loss for general classes of experts
N. Cesa-Bianchi and G. Lugosi · 1999
Earlier work this paper cites.
Adaptive model selection using empirical complexities
G. Lugosi and A. B. Nobel · 1999
Earlier work this paper cites.
Worst case prediction over sequences under log loss
M. Opper and D. Haussler · 1999
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Minimax nonparametric classification—part i: Rates of convergence
Y. Yang · 1999
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Information-theoretic determination of minimax rates of convergence
Y. Yang and A. R. Barron · 1999
Cited alongside, same era.
Rademacher processes and bounding the risk of function learning
V. Koltchinskii and D. Panchenko · 2000
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Mixing strategies for density estimation
Y. Yang · 2000
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Rademacher penalties and structural risk minimization
V. Koltchinskii · 2001
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Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems
V. Koltchinskii · 2011
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Minimax rates of estimation for high-dimensional linear regression over ℓ q \ell_{q} -balls
G. Raskutti, M. J. Wainwright, and B. Yu · 2011
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The safe Bayesian: Learning the learning rate via the mixability gap
P. Grünwald · 2012
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Kullback–Leibler aggregation and misspecified generalized linear models
P. Rigollet · 2012
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Robust tests for model selection
L. Birgé · 2013
Later among the works it cites.
Understanding Machine Learning: From Theory to Algorithms
S. Ben-David and S. Shalev-Shwartz · 2014
Later among the works it cites.
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