A Primal-Dual Algorithm for MonotropicProgramming and its Application to NetworkOptimization
Computational Optimization and Applications
Convergence of the Gradient Projection Method for Generalized Convex Minimization
Computational Optimization and Applications
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to boosting and leveraging
Advanced lectures on machine learning
Convex optimization techniques for fitting sparse Gaussian graphical models
ICML '06 Proceedings of the 23rd international conference on Machine learning
A dual coordinate descent method for large-scale linear SVM
Proceedings of the 25th international conference on Machine learning
The Journal of Machine Learning Research
A class of problems for which cyclic relaxation converges linearly
Computational Optimization and Applications
A sequential dual method for large scale multi-class linear svms
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
The Journal of Machine Learning Research
Computing non-negative tensor factorizations
Optimization Methods & Software - Mathematical programming in data mining and machine learning
Dantzig-Wolfe and block coordinate-descent decomposition in large-scale integrated refinery-planning
Computers and Operations Research
Stochastic methods for l1 regularized loss minimization
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Influence of forecasting electricity prices in the optimization of complex hydrothermal systems
Journal of Computational and Applied Mathematics
A variational inference framework for soft-in soft-out detection in multiple-access channels
IEEE Transactions on Information Theory
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
The Journal of Machine Learning Research
Distributed wireless sensor network localization via sequential greedy optimization algorithm
IEEE Transactions on Signal Processing
Optimal SINR-based random access
INFOCOM'10 Proceedings of the 29th conference on Information communications
Large linear classification when data cannot fit in memory
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
How about utilizing ordinal information from the distribution of unlabeled data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
The bag-of-opinions method for review rating prediction from sparse text patterns
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Network tomography: identifiability and Fourier domain estimation
IEEE Transactions on Signal Processing
A coordinate descent based method for geometry optimization of trusses
Advances in Engineering Software
The Journal of Machine Learning Research
Large-scale training of SVMs with automata kernels
CIAA'10 Proceedings of the 15th international conference on Implementation and application of automata
Stochastic Methods for l1-regularized Loss Minimization
The Journal of Machine Learning Research
Large Linear Classification When Data Cannot Fit in Memory
ACM Transactions on Knowledge Discovery from Data (TKDD)
Cyclic coordinate descent in hydrothermal nonsmooth problems
Numerical Algorithms
A primal-dual convergence analysis of boosting
The Journal of Machine Learning Research
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Error bounds for inconsistent linear inequalities and programs
Operations Research Letters
On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
Operations Research Letters
Linear support vector machines via dual cached loops
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting
Journal of Scientific Computing
Indexed block coordinate descent for large-scale linear classification with limited memory
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Recursive regularization for large-scale classification with hierarchical and graphical dependencies
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining expertise and interests from social media
Proceedings of the 22nd international conference on World Wide Web
Stochastic dual coordinate ascent methods for regularized loss
The Journal of Machine Learning Research
The rate of convergence of AdaBoost
The Journal of Machine Learning Research
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