
Robust Density Estimation under Besov IPM Losses
We study minimax convergence rates of nonparametric density estimation i...
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Multiclass Classification via ClassWeighted Nearest Neighbors
We study statistical properties of the knearest neighbors algorithm for...
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On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Sparse dictionary learning (SDL) has become a popular method for adaptiv...
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Nonparanormal Information Estimation
We study the problem of using i.i.d. samples from an unknown multivariat...
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FiniteSample Analysis of Fixedk Nearest Neighbor Density Functional Estimators
We provide finitesample analysis of a general framework for using knea...
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Efficient Nonparametric Smoothness Estimation
Sobolev quantities (norms, inner products, and distances) of probability...
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Generalized Exponential Concentration Inequality for Rényi Divergence Estimation
Estimating divergences in a consistent way is of great importance in man...
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Exponential Concentration of a Density Functional Estimator
We analyze a plugin estimator for a large class of integral functionals...
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Analysis of kNearest Neighbor Distances with Application to Entropy Estimation
Estimating entropy and mutual information consistently is important for ...
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Minimax Distribution Estimation in Wasserstein Distance
The Wasserstein metric is an important measure of distance between proba...
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Minimax Estimation of Quadratic Fourier Functionals
We study estimation of (semi)inner products between two nonparametric p...
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Nonparametric Density Estimation under Adversarial Losses
We study minimax convergence rates of nonparametric density estimation u...
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Nonparametric Density Estimation under Besov IPM Losses
We study the problem of estimating a nonparametric probability distribut...
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DARC: Differentiable ARchitecture Compression
In many learning situations, resources at inference time are significant...
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Shashank Singh
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