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Optimization

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Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014
Min-Max Problems on Factor Graphs ICML 2014
Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014
Preserving Modes and Messages via Diverse Particle Selection ICML 2014
Discrete Chebyshev Classifiers ICML 2014
A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014
Time-Regularized Interrupting Options (TRIO) ICML 2014
Randomized Nonlinear Component Analysis ICML 2014
Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014
Spectral Regularization for Max-Margin Sequence Tagging ICML 2014
Sample-based approximate regularization ICML 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
On Robustness and Regularization of Structural Support Vector Machines ICML 2014
Online Optimization for Max-Norm Regularization NIPS 2014
Fast SVM Training Using Approximate Extreme Points JMLR 2014
Training Highly Multiclass Classifiers JMLR 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
Finito: A faster, permutable incremental gradient method for big data problems ICML 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Support vector machines with indefinite kernels ACML 2014
Quasi Newton Temporal Difference Learning ACML 2014
Online matrix prediction for sparse loss matrices ACML 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014