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Continuous Optimization

3,907 papers

Papers per year

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38
155
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Papers

Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018
Learning convex bounds for linear quadratic control policy synthesis NIPS 2018
Rotation Averaging and Strong Duality CVPR 2018
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018
Joint Reasoning for Temporal and Causal Relations ACL 2018
How to tell when a clustering is (approximately) correct using convex relaxations NIPS 2018
Beyond Grobner Bases: Basis Selection for Minimal Solvers CVPR 2018
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions EMNLP 2018
A Convex Duality Framework for GANs NIPS 2018
ASVRG: Accelerated Proximal SVRG ACML 2018
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding ICML 2018
Cutting plane methods can be extended into nonconvex optimization COLT 2018
Gauged Mini-Bucket Elimination for Approximate Inference AISTATS 2018
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach AISTATS 2018
Communication Efficient Parallel Algorithms for Optimization on Manifolds NIPS 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NIPS 2018
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression IJCAI 2018
Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018
Combinatorial Preconditioners for Proximal Algorithms on Graphs AISTATS 2018
Stochastic Spectral and Conjugate Descent Methods NIPS 2018
Baseline Desensitizing in Translation Averaging CVPR 2018
Efficient coordinate-wise leading eigenvector computation ALT 2018
Legendre Decomposition for Tensors NIPS 2018