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Optimization

14,207 papers

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Papers

Stochastic Variance Reduction for Nonconvex Optimization ICML 2016
Adaptive Sampling for SGD by Exploiting Side Information ICML 2016
Online Stochastic Linear Optimization under One-bit Feedback ICML 2016
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints ICML 2016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient ICML 2016
A Kronecker-factored approximate Fisher matrix for convolution layers ICML 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016
A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016
Variance Reduction for Faster Non-Convex Optimization ICML 2016
Hyperparameter optimization with approximate gradient ICML 2016
SDCA without Duality, Regularization, and Individual Convexity ICML 2016
Heteroscedastic Sequences: Beyond Gaussianity ICML 2016
Primal-Dual Rates and Certificates ICML 2016
Minimizing the Maximal Loss: How and Why ICML 2016
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms ICML 2016
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning ICML 2016
Structured Prediction Energy Networks ICML 2016
Compressive Spectral Clustering ICML 2016
Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow ICML 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016
Unitary Evolution Recurrent Neural Networks ICML 2016