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1184 directly classified papers

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Papers

Graph-Based Simplex Method for Pairwise Energy Minimization With Binary Variables CVPR 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015
Theory of Dual-sparse Regularized Randomized Reduction ICML 2015
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data ICML 2015
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets ICML 2015
On Greedy Maximization of Entropy ICML 2015
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching CVPR 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015
Fixed-point algorithms for learning determinantal point processes ICML 2015
A New Generalized Error Path Algorithm for Model Selection ICML 2015
Algorithms for Lipschitz Learning on Graphs COLT 2015
Fast Exact Matrix Completion with Finite Samples COLT 2015
Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015
Rolling Shutter Super-Resolution ICCV 2015
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015
A Dual Augmented Block Minimization Framework for Learning with Limited Memory NIPS 2015
Monotone k-Submodular Function Maximization with Size Constraints NIPS 2015
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Orbit Regularization NIPS 2014
Spectral k-Support Norm Regularization NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014