non-convex optimization

Learning latent variable structured prediction models with Gaussian perturbations NeurIPS 2018 Learning One-hidden-layer Neural Networks with Landscape Design ICLR 2018 Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability COLT 2018 Natasha 2: Faster Non-Convex Optimization Than SGD NeurIPS 2018 NEON2: Finding Local Minima via First-Order Oracles NeurIPS 2018 New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NeurIPS 2018 Non-convex Conditional Gradient Sliding ICML 2018 Non-Convex Matrix Completion Against a Semi-Random Adversary COLT 2018 Nonconvex Optimization for Regression with Fairness Constraints ICML 2018 On denoising modulo 1 samples of a function AISTATS 2018 Online Learning with Non-Convex Losses and Non-Stationary Regret AISTATS 2018 On Markov Chain Gradient Descent NeurIPS 2018 On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018 On the Local Minima of the Empirical Risk NeurIPS 2018 Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates NeurIPS 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Robust PCA by Manifold Optimization JMLR 2018 Rotation Averaging and Strong Duality CVPR 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 Scalable Robust Matrix Factorization with Nonconvex Loss NeurIPS 2018 signSGD: Compressed Optimisation for Non-Convex Problems ICML 2018 SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NeurIPS 2018 Stochastic Cubic Regularization for Fast Nonconvex Optimization NeurIPS 2018 Stochastic Nested Variance Reduction for Nonconvex Optimization NeurIPS 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018