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hyperparameter tuning

215 papers

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Co-occurring keywords

bayesian optimization (624) hyperparameter optimization (406) gaussian process (1200) model selection (456) neural network optimization (1293) regret bound (1926) text classification (6793) transfer learning (5449) acquisition function (129) large language model (13587)

Papers

Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies ICML 2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration IJCAI 2021
Greybox Algorithm Configuration IJCAI 2021
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density ICCV 2021
We Need to Talk About train-dev-test Splits EMNLP 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers EMNLP 2021
Domain-Independent Dominance of Adaptive Methods CVPR 2021
True Few-Shot Learning with Language Models NIPS 2021
Hyperparameter Tuning is All You Need for LISTA NIPS 2021
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization NIPS 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NIPS 2021
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NIPS 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NIPS 2021
Bag of Tricks for Optimizing Transformer Efficiency EMNLP 2021
Pipeline Combinators for Gradual AutoML NIPS 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NIPS 2021
On hyperparameter tuning in general clustering problemsm ICML 2020
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers ICML 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020
Knowing The What But Not The Where in Bayesian Optimization ICML 2020
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020
Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020