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Continuous Optimization

3907 directly classified papers

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Papers

Multiple Operator-valued Kernel Learning NIPS 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
Persistent Homology for Learning Densities with Bounded Support NIPS 2012
Multi-Task Averaging NIPS 2012
Scaled Gradients on Grassmann Manifolds for Matrix Completion NIPS 2012
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
Volume Regularization for Binary Classification NIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NIPS 2012
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
Convergence and Energy Landscape for Cheeger Cut Clustering NIPS 2012
Proximal Newton-type methods for convex optimization NIPS 2012
Recovery of Sparse Probability Measures via Convex Programming NIPS 2012
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Factoring nonnegative matrices with linear programs NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
Hierarchical Motion Planning in Topological Representations RSS 2012
Minimal Coordinate Formulation of Contact Dynamics in Operational Space RSS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012
Fast Variational Mode-Seeking AISTATS 2012
Primal-Dual methods for sparse constrained matrix completion AISTATS 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012