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Optimization

1203 directly classified papers

Papers per year

Papers

MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions JMLR 2016
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016
Rounding-based Moves for Semi-Metric Labeling JMLR 2016
Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016
Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs CVPR 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016
GenSVM: A Generalized Multiclass Support Vector Machine JMLR 2016
Convergence of an Alternating Maximization Procedure JMLR 2016
The SNOW Theorem and Latency-Optimal Read-Only Transactions OSDI 2016
Adaptive Averaging in Accelerated Descent Dynamics NIPS 2016
Stochastic Variance Reduction Methods for Saddle-Point Problems NIPS 2016
CMA-ES with Optimal Covariance Update and Storage Complexity NIPS 2016
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
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
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