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conftrace_

non-convex optimization

949 papers

Papers

Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020 Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization ICML 2020 IPBoost – Non-Convex Boosting via Integer Programming ICML 2020 Modeling and Optimization Trade-off in Meta-learning NeurIPS 2020 Momentum Improves Normalized SGD ICML 2020 Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond COLT 2020 Non-Convex SGD Learns Halfspaces with Adversarial Label Noise NeurIPS 2020 Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NeurIPS 2020 Non-monotone DR-submodular Maximization over General Convex Sets IJCAI 2020 One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020 On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning ICLR 2020 Online Non-Convex Learning: Following the Perturbed Leader is Optimal ALT 2020 Online Non-Convex Optimization with Imperfect Feedback NeurIPS 2020 On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems NeurIPS 2020 On the Convergence of SARAH and Beyond AISTATS 2020 On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020 On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Optimal Learning from Verified Training Data NeurIPS 2020 Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities NeurIPS 2020 Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Oracle Efficient Private Non-Convex Optimization ICML 2020 pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Projection Robust Wasserstein Distance and Riemannian Optimization NeurIPS 2020