Co-occurring keywords · papers mentioning both
Papers
Minimax Estimation of Kernel Mean Embeddings
JMLR 2017
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices
ACML 2017
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models
JMLR 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
NeurIPS 2016
Optimal Estimation and Completion of Matrices with Biclustering Structures
JMLR 2016
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
ICML 2016
Toward Minimax Off-policy Value Estimation
AISTATS 2015
Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls
JMLR 2014
Minimax-optimal Inference from Partial Rankings
NeurIPS 2014
Optimality of Graphlet Screening in High Dimensional Variable Selection
JMLR 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
NeurIPS 2014
Robust Classification Under Sample Selection Bias
NeurIPS 2014
Sparsity and the Truncated l^2-norm
AISTATS 2014
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
NeurIPS 2013
Optimal aggregation of affine estimators
COLT 2011
Near-minimax recursive density estimation on the binary hypercube
NeurIPS 2008