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Optimization

14,207 papers

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Papers

Binary Partitions with Approximate Minimum Impurity ICML 2018
Canonical Tensor Decomposition for Knowledge Base Completion ICML 2018
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global ICML 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks ICML 2018
The Well-Tempered Lasso ICML 2018
Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018
Reviving and Improving Recurrent Back-Propagation ICML 2018
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018
A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018
Fast Variance Reduction Method with Stochastic Batch Size ICML 2018
Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018
On Matching Pursuit and Coordinate Descent ICML 2018
Accelerating Greedy Coordinate Descent Methods ICML 2018
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers ICML 2018
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018
Approximate message passing for amplitude based optimization ICML 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018
Which Training Methods for GANs do actually Converge? ICML 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network ICML 2018
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization ICML 2018
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018