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Optimization

1184 directly classified papers

Papers per year

Papers

Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014
Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014
l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014
Robust Separation of Reflection from Multiple Images CVPR 2014
Maximum Persistency in Energy Minimization CVPR 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
Coresets for k-Segmentation of Streaming Data NIPS 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NIPS 2014
Deterministic Symmetric Positive Semidefinite Matrix Completion NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
On Integrated Clustering and Outlier Detection NIPS 2014
Learning Chordal Markov Networks by Dynamic Programming NIPS 2014
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers ICML 2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
The Coherent Loss Function for Classification ICML 2014
Large-scale Multi-label Learning with Missing Labels ICML 2014
Towards an optimal stochastic alternating direction method of multipliers ICML 2014
Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014
Spectral Regularization for Max-Margin Sequence Tagging ICML 2014
SCAMS: Simultaneous Clustering and Model Selection CVPR 2014