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Optimization

14,983 papers

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Papers

Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Matrix Completion from Power-Law Distributed Samples NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
Information-theoretic lower bounds on the oracle complexity of convex optimization NIPS 2009
On Stochastic and Worst-case Models for Investing NIPS 2009
Submanifold density estimation NIPS 2009
A Parameter-free Hedging Algorithm NIPS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Lattice Regression NIPS 2009
Efficient Recovery of Jointly Sparse Vectors NIPS 2009
Streaming k-means approximation NIPS 2009
Noisy Generalized Binary Search NIPS 2009
Learning with Compressible Priors NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NIPS 2009
A Game-Theoretic Approach to Hypergraph Clustering NIPS 2009
Adaptive Design Optimization in Experiments with People NIPS 2009
An LP View of the M-best MAP problem NIPS 2009
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Convex Relaxation of Mixture Regression with Efficient Algorithms NIPS 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NIPS 2009
Analysis of SVM with Indefinite Kernels NIPS 2009