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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

Limits of Model Selection under Transfer Learning COLT 2023
Merlion: End-to-End Machine Learning for Time Series JMLR 2023
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control L4DC 2023
Meta-Learning Adversarial Bandit Algorithms NIPS 2023
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer EMNLP 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
Blackbox optimization of unimodal functions UAI 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? NIPS 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NIPS 2023
Utilitarian Algorithm Configuration NIPS 2023
Ushoshi2023 at BLP-2023 Task 2: A Comparison of Traditional to Advanced Linguistic Models to Analyze Sentiment in Bangla Texts EMNLP 2023
Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters EACL 2023
Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NIPS 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments EMNLP 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022
How to scale hyperparameters for quickshift image segmentation AISTATS 2022
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach AISTATS 2022
Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022
On the Generalizability and Predictability of Recommender Systems NIPS 2022
Multi-agent Dynamic Algorithm Configuration NIPS 2022
Fast Population-Based Reinforcement Learning on a Single Machine ICML 2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms NIPS 2022