Co-occurring keywords · papers mentioning both
Papers
Stochastic Variance-Reduced Cubic Regularized Newton Methods
ICML 2018
Structured Local Minima in Sparse Blind Deconvolution
NeurIPS 2018
The Convergence of Sparsified Gradient Methods
NeurIPS 2018
The Physical Systems Behind Optimization Algorithms
NeurIPS 2018
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima
NeurIPS 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
IJCAI 2018
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks
CVPR 2018
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation
AISTATS 2018
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
NeurIPS 2018
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
NeurIPS 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
NeurIPS 2018
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
COLT 2017
Alternating Direction Graph Matching
CVPR 2017
A New Theory for Matrix Completion
NeurIPS 2017
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms
JMLR 2017
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
CVPR 2017
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal
CVPR 2017
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization
AISTATS 2017
Asynchronous Coordinate Descent under More Realistic Assumptions
NeurIPS 2017
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation
AISTATS 2017
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery
ICML 2017
Automated Inference with Adaptive Batches
AISTATS 2017
Continuous DR-submodular Maximization: Structure and Algorithms
NeurIPS 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
ICML 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
NeurIPS 2017