Optimization

Meta-Interpretive Learning Using HEX-Programs IJCAI 2019 Meta Learning for Hyperparameter Optimization in Dialogue System Interspeech 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta-Learning with Implicit Gradients NeurIPS 2019 MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 2019 Meta-Surrogate Benchmarking for Hyperparameter Optimization NeurIPS 2019 Metric-Optimized Example Weights ICML 2019 MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019 Migration as Submodular Optimization AAAI 2019 Minimal Sample Subspace Learning: Theory and Algorithms JMLR 2019 Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment CVPR 2019 Minimal Variance Sampling in Stochastic Gradient Boosting NeurIPS 2019 Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019 Minimum Delay Object Detection From Video ICCV 2019 Minimum Stein Discrepancy Estimators NeurIPS 2019 Minimum Volume Topic Modeling AISTATS 2019 Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption NeurIPS 2019 Mixture Models for Diverse Machine Translation: Tricks of the Trade ICML 2019 Model Consistency for Learning with Mirror-Stratifiable Regularizers AISTATS 2019 Model Function Based Conditional Gradient Method with Armijo-like Line Search ICML 2019 Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control RSS 2019 Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 Mode Normalization ICLR 2019 Momentum-Based Variance Reduction in Non-Convex SGD NeurIPS 2019