Co-occurring keywords · papers mentioning both
Papers
A Composite Randomized Incremental Gradient Method
ICML 2019
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
IJCAI 2019
AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes
ICML 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NeurIPS 2019
Alternating Minimizations Converge to Second-Order Optimal Solutions
ICML 2019
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
NeurIPS 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
NeurIPS 2019
A Non–Convex Optimization Approach to Correlation Clustering
AAAI 2019
A Nonconvex Projection Method for Robust PCA
AAAI 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction
NeurIPS 2019
A Sufficient Condition for Convergences of Adam and RMSProp
CVPR 2019
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
AAAI 2019
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization
IJCAI 2019
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
JMLR 2019
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
NeurIPS 2019
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera
CVPR 2019
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
CVPR 2019
Computational Separations between Sampling and Optimization
NeurIPS 2019
Constrained Reinforcement Learning Has Zero Duality Gap
NeurIPS 2019
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems
JMLR 2019
Convergent Policy Optimization for Safe Reinforcement Learning
NeurIPS 2019
Cubic Regularization with Momentum for Nonconvex Optimization
UAI 2019
Decentralized Dictionary Learning Over Time-Varying Digraphs
JMLR 2019
Deep Dominance - How to Properly Compare Deep Neural Models
ACL 2019
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex
AISTATS 2019