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conftrace_

non-convex optimization

949 papers

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