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non-convex optimization

546 papers

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IRLS

Co-occurring keywords

stochastic gradient descent (1088) stochastic optimization (1060) gradient descent (1143) convergence rate (606) convergence analysis (394) variance reduction (520) nonconvex optimization (316) saddle point (95) matrix factorization (529) online learning (1770)

Papers

Lifted Proximal Operator Machines AAAI 2019
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering IJCAI 2019
Robust and Communication-Efficient Collaborative Learning NIPS 2019
A Non–Convex Optimization Approach to Correlation Clustering AAAI 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019
Fast Algorithms for Sparse Reduced-Rank Regression AISTATS 2019
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization IJCAI 2019
Constrained Reinforcement Learning Has Zero Duality Gap NIPS 2019
Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NIPS 2018
Non-convex Conditional Gradient Sliding ICML 2018
A Generic Approach for Escaping Saddle points AISTATS 2018
Natasha 2: Faster Non-Convex Optimization Than SGD NIPS 2018
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery JMLR 2018
A Tight Bound of Hard Thresholding JMLR 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NIPS 2018
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NIPS 2018
Global Non-convex Optimization with Discretized Diffusions NIPS 2018
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization NIPS 2018
Benefits of over-parameterization with EM NIPS 2018
NEON2: Finding Local Minima via First-Order Oracles NIPS 2018