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Optimization

14,983 papers

Papers per year

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342
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Papers

A Polylog Pivot Steps Simplex Algorithm for Classification NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Affine Independent Variational Inference NIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Online L1-Dictionary Learning with Application to Novel Document Detection NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
A quasi-Newton proximal splitting method NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Query Complexity of Derivative-Free Optimization NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
The representer theorem for Hilbert spaces: a necessary and sufficient condition NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Near-optimal Differentially Private Principal Components NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012
Max-Margin Ratio Machine ACML 2012
Supervised Dimension Reduction with Topic Models ACML 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012