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Optimization

14207 directly classified papers

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Least Informative Dimensions NIPS 2013
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NIPS 2013
Robust Spatial Filtering with Beta Divergence NIPS 2013
Dimension-Free Exponentiated Gradient NIPS 2013
Supervised Sparse Analysis and Synthesis Operators NIPS 2013
A Comparative Framework for Preconditioned Lasso Algorithms NIPS 2013
Stochastic Optimization of PCA with Capped MSG NIPS 2013
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NIPS 2013
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NIPS 2013
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Parametric Task Learning NIPS 2013
Large Scale Distributed Sparse Precision Estimation NIPS 2013
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NIPS 2013
Better Approximation and Faster Algorithm Using the Proximal Average NIPS 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013
Efficient Optimization for Sparse Gaussian Process Regression NIPS 2013
Efficient Algorithm for Privately Releasing Smooth Queries NIPS 2013
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NIPS 2013
Geometric optimisation on positive definite matrices for elliptically contoured distributions NIPS 2013
Linear Convergence with Condition Number Independent Access of Full Gradients NIPS 2013
An Approximate, Efficient LP Solver for LP Rounding NIPS 2013
Estimation, Optimization, and Parallelism when Data is Sparse NIPS 2013
Phase Retrieval using Alternating Minimization NIPS 2013