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Continuous Optimization

4,424 papers

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Papers

Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017 Sharpness, Restart and Acceleration NeurIPS 2017 Sharp Oracle Inequalities for Square Root Regularization JMLR 2017 Simultaneous Stereo Video Deblurring and Scene Flow Estimation CVPR 2017 Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017 Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage AISTATS 2017 Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization NeurIPS 2017 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 Soft Margin Support Vector Classification as Buffered Probability Minimization JMLR 2017 Solving Most Systems of Random Quadratic Equations NeurIPS 2017 Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality COLT 2017 Sparse Approximate Conic Hulls NeurIPS 2017 Speech Enhancement Using Non-Negative Spectrogram Models with Mel-Generalized Cepstral Regularization Interspeech 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources IJCAI 2017 Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017 Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence ICML 2017 Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification ICML 2017 Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NeurIPS 2017 Structured adaptive and random spinners for fast machine learning computations AISTATS 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017 Tensor Balancing on Statistical Manifold ICML 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017