hyperparameter tuning

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021 Fine-tuning Distributional Semantic Models for Closely-Related Languages EACL 2021 Greybox Algorithm Configuration IJCAI 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 How to Train BERT with an Academic Budget EMNLP 2021 Hyperparameter Selection for Imitation Learning ICML 2021 Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021 Hyperparameter Tuning is All You Need for LISTA NeurIPS 2021 Nonsmooth Implicit Differentiation for Machine-Learning and Optimization NeurIPS 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021 Pipeline Combinators for Gradual AutoML NeurIPS 2021 RMSprop converges with proper hyper-parameter ICLR 2021 Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021 Simple and Effective VAE Training with Calibrated Decoders ICML 2021 The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers EMNLP 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 True Few-Shot Learning with Language Models NeurIPS 2021 Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density ICCV 2021 Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NeurIPS 2021 Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies ICML 2021 We Need to Talk About train-dev-test Splits EMNLP 2021 Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 A Self-Tuning Actor-Critic Algorithm NeurIPS 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020