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Optimization

14,207 papers

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Papers

FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods AISTATS 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization AISTATS 2018
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes AISTATS 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018
Catalyst for Gradient-based Nonconvex Optimization AISTATS 2018
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training AISTATS 2018
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018
Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018
Stochastic Three-Composite Convex Minimization with a Linear Operator AISTATS 2018
Direct Learning to Rank And Rerank AISTATS 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD AISTATS 2018
Robust Maximization of Non-Submodular Objectives AISTATS 2018
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning AISTATS 2018
Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018
Statistical Sparse Online Regression: A Diffusion Approximation Perspective AISTATS 2018
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018
Learning to Round for Discrete Labeling Problems AISTATS 2018
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018
Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018
Optimality of Approximate Inference Algorithms on Stable Instances AISTATS 2018
Provable Estimation of the Number of Blocks in Block Models AISTATS 2018