Optimization

Barzilai-Borwein Step Size for Stochastic Gradient Descent NeurIPS 2016 BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NeurIPS 2016 Bayesian Networks: a Combined Tuning Heuristic PGM 2016 Bayesian optimization for automated model selection NeurIPS 2016 Bayesian optimization for automated model selection AutoML 2016 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian NeurIPS 2016 Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NeurIPS 2016 Best-of-K-bandits COLT 2016 Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016 Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016 BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits ICML 2016 Black-box Optimization with a Politician ICML 2016 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach JMLR 2016 BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition CVPR 2016 Catching heuristics are optimal control policies NeurIPS 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 CLARINET: WAN-Aware Optimization for Analytics Queries OSDI 2016 Closed-Form Training of Mahalanobis Distance for Supervised Clustering CVPR 2016 Closed Loop Control of a Tethered Magnetic Capsule Endoscope RSS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NeurIPS 2016 Combinatorial Energy Learning for Image Segmentation NeurIPS 2016