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Continuous Optimization

3,907 papers

Papers per year

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38
155
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Papers

Global Optimality of Local Search for Low Rank Matrix Recovery NIPS 2016
On Robustness of Kernel Clustering NIPS 2016
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ NIPS 2016
Fast Algorithms for Robust PCA via Gradient Descent NIPS 2016
Normalized Spectral Map Synchronization NIPS 2016
Regularized Nonlinear Acceleration NIPS 2016
A Non-generative Framework and Convex Relaxations for Unsupervised Learning NIPS 2016
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NIPS 2016
A scaled Bregman theorem with applications NIPS 2016
Nearly Isometric Embedding by Relaxation NIPS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes NIPS 2016
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NIPS 2016
Faster Projection-free Convex Optimization over the Spectrahedron NIPS 2016
Learning Kernels with Random Features NIPS 2016
Exact Recovery of Hard Thresholding Pursuit NIPS 2016
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization NIPS 2016
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
Agnostic Estimation for Misspecified Phase Retrieval Models NIPS 2016
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NIPS 2016
Semiparametric Differential Graph Models NIPS 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA ACML 2016
Geometry-aware stationary subspace analysis ACML 2016
Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016