convergence rate

Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018 Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Direct Runge-Kutta Discretization Achieves Acceleration NeurIPS 2018 Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines ICML 2018 Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018 Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NeurIPS 2018 Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018 Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NeurIPS 2018 How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NeurIPS 2018 Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018 Kernel Density Estimation for Dynamical Systems JMLR 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018 Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates NeurIPS 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 Online Learning Rate Adaptation with Hypergradient Descent ICLR 2018 On Nesting Monte Carlo Estimators ICML 2018 Optimal Algorithms for Non-Smooth Distributed Optimization in Networks NeurIPS 2018 Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018 Proximal SCOPE for Distributed Sparse Learning NeurIPS 2018 Randomized Block Cubic Newton Method ICML 2018