Co-occurring keywords · papers mentioning both
Papers
On the Efficient Minimization of Classification Calibrated Surrogates
NeurIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
NeurIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking
NeurIPS 2008
Robust Regression and Lasso
NeurIPS 2008
Sparse Online Learning via Truncated Gradient
NeurIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization
NeurIPS 2008
Tighter Bounds for Structured Estimation
NeurIPS 2008
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
NeurIPS 2007
Adaptive Online Gradient Descent
NeurIPS 2007
An Analysis of Convex Relaxations for MAP Estimation
NeurIPS 2007
A New View of Automatic Relevance Determination
NeurIPS 2007
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
JMLR 2007
A Unified Continuous Optimization Framework for Center-Based Clustering Methods
JMLR 2007
Bundle Methods for Machine Learning
NeurIPS 2007
Convex Clustering with Exemplar-Based Models
NeurIPS 2007
Convex Learning with Invariances
NeurIPS 2007
Convex Relaxations of Latent Variable Training
NeurIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering
NeurIPS 2007
Ensemble Clustering using Semidefinite Programming
NeurIPS 2007
Euclidean Embedding of Co-occurrence Data
JMLR 2007
Hierarchical Penalization
NeurIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
NeurIPS 2007
Predictive Matrix-Variate t Models
NeurIPS 2007
Progressive mixture rules are deviation suboptimal
NeurIPS 2007
Support Vector Machine Classification with Indefinite Kernels
NeurIPS 2007