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Optimization

14207 directly classified papers

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Papers

Selective Labeling via Error Bound Minimization NIPS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Fast Variational Inference in the Conjugate Exponential Family NIPS 2012
Relax and Randomize : From Value to Algorithms NIPS 2012
Co-Regularized Hashing for Multimodal Data NIPS 2012
Compressive Sensing MRI with Wavelet Tree Sparsity NIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes NIPS 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Scaled Gradients on Grassmann Manifolds for Matrix Completion NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
Factoring nonnegative matrices with linear programs NIPS 2012
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Recovery of Sparse Probability Measures via Convex Programming NIPS 2012
Convex Multi-view Subspace Learning NIPS 2012
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
Classification Calibration Dimension for General Multiclass Losses NIPS 2012
Minimization of Continuous Bethe Approximations: A Positive Variation NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Regularized Off-Policy TD-Learning NIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012