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gradient-based optimization

191 papers

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adversarial attack (1599) gradient descent (1143) large language model (12755) few-shot learning (3390) neural network (6616) hyperparameter optimization (405) neural architecture search (665) gradient optimization (57) discrete optimization (145) multi-objective optimization (357)

Papers

When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NIPS 2017
End-to-End Learning for Structured Prediction Energy Networks ICML 2017
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics CONLL 2017
Hyperparameter optimization with approximate gradient ICML 2016
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NIPS 2016
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization CVPR 2016
Dynamic Capacity Networks ICML 2016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 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 NIPS 2014
Distributed Delayed Stochastic Optimization NIPS 2011
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006