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Optimization

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Papers

SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
SparseMAP: Differentiable Sparse Structured Inference ICML 2018
Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018
BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018
Learning Compact Neural Networks with Regularization ICML 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018
Learning to Speed Up Structured Output Prediction ICML 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
Adaptive Three Operator Splitting ICML 2018
Efficient Neural Architecture Search via Parameters Sharing ICML 2018
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018
Non-convex Conditional Gradient Sliding ICML 2018
Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018
Learning Implicit Generative Models with the Method of Learned Moments ICML 2018
Fast Information-theoretic Bayesian Optimisation ICML 2018
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks ICML 2018
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions ICML 2018
Finding Influential Training Samples for Gradient Boosted Decision Trees ICML 2018
Accelerating Natural Gradient with Higher-Order Invariance ICML 2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search ICML 2018
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018
Best Arm Identification in Linear Bandits with Linear Dimension Dependency ICML 2018
Decoupling Gradient-Like Learning Rules from Representations ICML 2018
Convergent Tree Backup and Retrace with Function Approximation ICML 2018