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conftrace_

non-convex optimization

949 papers

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