Continuous Optimization
4,424 papers
Papers per year
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29
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39
46
78
150
173
157
189
225
261
393
371
395
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545
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34
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Papers
Scalable Robust Matrix Factorization with Nonconvex Loss
NeurIPS 2018
Semi-Oblivious Traffic Engineering: The Road Not Taken
NSDI 2018
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers
JMLR 2018
Smooth and Sparse Optimal Transport
AISTATS 2018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
COLT 2018
Smoothed analysis of the low-rank approach for smooth semidefinite programs
NeurIPS 2018
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion
CVPR 2018
Solving lp-norm regularization with tensor kernels
AISTATS 2018
Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε): A Primal-Dual Homotopy Smoothing Approach
NeurIPS 2018
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations
IJCAI 2018
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms
CVPR 2018
Spectral Algorithms for Computing Fair Support Vector Machines
AISTATS 2018
Speech Enhancement Using the Minimum-probability-of-error Criterion
Interspeech 2018
Stein Points
ICML 2018
Step Size Matters in Deep Learning
NeurIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization
NeurIPS 2018
Stochastic PCA with ℓ_2 and ℓ_1 Regularization
ICML 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models
IJCAI 2018
Stochastic Spectral and Conjugate Descent Methods
NeurIPS 2018
Stochastic Three-Composite Convex Minimization with a Linear Operator
AISTATS 2018
Stochastic Zeroth-order Optimization in High Dimensions
AISTATS 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning
ACML 2018
Structured Local Minima in Sparse Blind Deconvolution
NeurIPS 2018
Subspace Embedding and Linear Regression with Orlicz Norm
ICML 2018
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018