conftrace_

hyperparameter tuning

215 papers

Explore in graph

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

Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines EMNLP 2022
On the Generalizability and Predictability of Recommender Systems NIPS 2022
How to scale hyperparameters for quickshift image segmentation AISTATS 2022
Adam Can Converge Without Any Modification On Update Rules NIPS 2022
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition L4DC 2022
Fast Population-Based Reinforcement Learning on a Single Machine ICML 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NIPS 2022
Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022
Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022
Estimation of Local Average Treatment Effect by Data Combination AAAI 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022
Accelerating Quadratic Optimization with Reinforcement Learning NIPS 2021
Hyperparameter Selection for Imitation Learning ICML 2021
High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021
Automatic Design of Heuristic Algorithms for Binary Optimization Problems IJCAI 2021
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021
Simple and Effective VAE Training with Calibrated Decoders ICML 2021
Explainable Automated Graph Representation Learning with Hyperparameter Importance ICML 2021
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers ICML 2021
How to Train BERT with an Academic Budget EMNLP 2021
Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021
Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021
Fine-tuning Distributional Semantic Models for Closely-Related Languages EACL 2021
Parameter Selection: Why We Should Pay More Attention to It IJCNLP 2021