gradient-based optimization

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models ICLR 2018 Learning to search with MCTSnets ICML 2018 Multi-Task Learning as Multi-Objective Optimization NeurIPS 2018 Neural Architecture Optimization NeurIPS 2018 End-to-End Learning for Structured Prediction Energy Networks ICML 2017 Optimizing Differentiable Relaxations of Coreference Evaluation Metrics CoNLL 2017 Preventing Gradient Explosions in Gated Recurrent Units NeurIPS 2017 Towards Decoding as Continuous Optimisation in Neural Machine Translation EMNLP 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017 Dynamic Capacity Networks ICML 2016 Fits Like a Glove: Rapid and Reliable Hand Shape Personalization CVPR 2016 Hyperparameter optimization with approximate gradient ICML 2016 Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 2016 Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters ICML 2016 Gradient-based Hyperparameter Optimization through Reversible Learning ICML 2015 Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Distributed Delayed Stochastic Optimization NeurIPS 2011 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006