Co-occurring keywords · papers mentioning both
Papers
Geometry and Symmetry in Short-and-Sparse Deconvolution
ICML 2019
Global Convergence of Block Coordinate Descent in Deep Learning
ICML 2019
Globally Optimal Learning for Structured Elliptical Losses
NeurIPS 2019
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros
AISTATS 2019
Heavy-ball Algorithms Always Escape Saddle Points
IJCAI 2019
How degenerate is the parametrization of neural networks with the ReLU activation function?
NeurIPS 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
ICML 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number
ICML 2019
Learning in Non-convex Games with an Optimization Oracle
COLT 2019
Learning to Match via Inverse Optimal Transport
JMLR 2019
Learning to Optimize in Swarms
NeurIPS 2019
Learning with Non-Convex Truncated Losses by SGD
UAI 2019
Lifted Proximal Operator Machines
AAAI 2019
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
ICML 2019
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA
JMLR 2019
Momentum-Based Variance Reduction in Non-Convex SGD
NeurIPS 2019
Multi-Frequency Phase Synchronization
ICML 2019
Noisy Dual Principal Component Pursuit
ICML 2019
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
COLT 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
ICML 2019
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
NeurIPS 2019
Nonconvex Low-Rank Tensor Completion from Noisy Data
NeurIPS 2019
Non-Convex Matrix Completion and Related Problems via Strong Duality
JMLR 2019
Nonconvex Matrix Factorization from Rank-One Measurements
AISTATS 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
JMLR 2019