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Optimization

14,969 papers

Papers per year

18
112
342
1289
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Papers

Accelerated Variational Dirichlet Process Mixtures NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
Stability of $K$-Means Clustering NIPS 2006
Automated Hierarchy Discovery for Planning in Partially Observable Environments NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
Nonnegative Sparse PCA NIPS 2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Sparse Representation for Signal Classification NIPS 2006