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Optimization

1,207 papers

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Papers

Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NIPS 2016
Sub-sampled Newton Methods with Non-uniform Sampling NIPS 2016
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow NIPS 2016
Fast recovery from a union of subspaces NIPS 2016
Nested Mini-Batch K-Means NIPS 2016
A Multi-Batch L-BFGS Method for Machine Learning NIPS 2016
Accelerating Stochastic Composition Optimization NIPS 2016
Local Minimax Complexity of Stochastic Convex Optimization NIPS 2016
Normalized Spectral Map Synchronization NIPS 2016
Regularized Nonlinear Acceleration NIPS 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016
Using Relevant Public Posts to Enhance News Article Summarization COLING 2016
Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs CVPR 2016
Stochastic Variance Reduction for Nonconvex Optimization ICML 2016
Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016
Hyperparameter optimization with approximate gradient ICML 2016
Primal-Dual Rates and Certificates ICML 2016
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods ICML 2016
Black-box Optimization with a Politician ICML 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016
Stochastic Discrete Clenshaw-Curtis Quadrature ICML 2016
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016
Convergence of an Alternating Maximization Procedure JMLR 2016