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Optimization

14,983 papers

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Papers

Acceleration of SVRG and Katyusha X by Inexact Preconditioning ICML 2019
Sparse Extreme Multi-label Learning with Oracle Property ICML 2019
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019
On Certifying Non-Uniform Bounds against Adversarial Attacks ICML 2019
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization ICML 2019
Neurally-Guided Structure Inference ICML 2019
Guided evolutionary strategies: augmenting random search with surrogate gradients ICML 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization ICML 2019
Understanding and correcting pathologies in the training of learned optimizers ICML 2019
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization ICML 2019
A Dynamical Systems Perspective on Nesterov Acceleration ICML 2019
SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019
Safe Grid Search with Optimal Complexity ICML 2019
Learning to bid in revenue-maximizing auctions ICML 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019
Model Function Based Conditional Gradient Method with Armijo-like Line Search ICML 2019
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML 2019
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019
Generalized Majorization-Minimization ICML 2019
Spectral Approximate Inference ICML 2019
Subspace Robust Wasserstein Distances ICML 2019
Collaborative Channel Pruning for Deep Networks ICML 2019
SAGA with Arbitrary Sampling ICML 2019
SGD: General Analysis and Improved Rates ICML 2019