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Continuous Optimization

3,907 papers

Papers per year

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38
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Papers

A New Approach to Laplacian Solvers and Flow Problems JMLR 2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NIPS 2019
Alternating Minimizations Converge to Second-Order Optimal Solutions ICML 2019
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization COLT 2019
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Low-Rank Approximations of Second-Order Document Representations CONLL 2019
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference ICML 2019
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function ICCV 2019
Entangled Kernels IJCAI 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NIPS 2019
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming AAAI 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019
Overcomplete Independent Component Analysis via SDP AISTATS 2019
Three-Player Wasserstein GAN via Amortised Duality IJCAI 2019
Attribute-efficient learning of monomials over highly-correlated variables ALT 2019
Blind Demixing via Wirtinger Flow with Random Initialization AISTATS 2019
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport AAAI 2019
Shadowing Properties of Optimization Algorithms NIPS 2019
Tensor Decomposition for Multilayer Networks Clustering AAAI 2019
Differentiable Ranking and Sorting using Optimal Transport NIPS 2019
Blended Matching Pursuit NIPS 2019
Globally Optimal Learning for Structured Elliptical Losses NIPS 2019
Variance Reduction for Matrix Games NIPS 2019