Co-occurring keywords · papers mentioning both
Papers
A General Framework for Consistency of Principal Component Analysis
JMLR 2016
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
NeurIPS 2016
Graphons, mergeons, and so on!
NeurIPS 2016
Learning Theory for Distribution Regression
JMLR 2016
Active Learning from Weak and Strong Labelers
NeurIPS 2015
Consistency of structured output learning with missing labels
ACML 2015
Dimensionality estimation without distances
AISTATS 2015
Consistency of Causal Inference under the Additive Noise Model
ICML 2014
Consistent Binary Classification with Generalized Performance Metrics
NeurIPS 2014
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
ICML 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent
NeurIPS 2014
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection
ICML 2014
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems
COLT 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
NeurIPS 2014
A simple example of Dirichlet process mixture inconsistency for the number of components
NeurIPS 2013
A Unified Robust Regression Model for Lasso-like Algorithms
ICML 2013
Boosting with the Logistic Loss is Consistent
COLT 2013
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
JMLR 2013
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
ICML 2013
A Polynomial-time Form of Robust Regression
NeurIPS 2012
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
NeurIPS 2012
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
NeurIPS 2012
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
NeurIPS 2011
Kernel Partial Least Squares is Universally Consistent
AISTATS 2010