Co-occurring keywords · papers mentioning both
Papers
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter
NeurIPS 2017
Generalization Error of Invariant Classifiers
AISTATS 2017
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
JMLR 2017
Regularization and the small-ball method II: complexity dependent error rates
JMLR 2017
Using Ranking-CNN for Age Estimation
CVPR 2017
An optimal algorithm for the Thresholding Bandit Problem
ICML 2016
A posteriori error bounds for joint matrix decomposition problems
NeurIPS 2016
Refined Error Bounds for Several Learning Algorithms
JMLR 2016
Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes
JMLR 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
NeurIPS 2016
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods
ICML 2015
Information-theoretic lower bounds for convex optimization with erroneous oracles
NeurIPS 2015
Matrix Completion Under Monotonic Single Index Models
NeurIPS 2015
Regularization Path of Cross-Validation Error Lower Bounds
NeurIPS 2015
Consistency of weighted majority votes
NeurIPS 2014
Near-Optimal Herding
COLT 2014
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
NeurIPS 2013
Guaranteed Sparse Recovery under Linear Transformation
ICML 2013
New Subsampling Algorithms for Fast Least Squares Regression
NeurIPS 2013
The price of bandit information in multiclass online classification
COLT 2013
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
AISTATS 2012
Selective Labeling via Error Bound Minimization
NeurIPS 2012
Stick-Breaking Beta Processes and the Poisson Process
AISTATS 2012
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
NeurIPS 2012
Value Pursuit Iteration
NeurIPS 2012