Gradient Descent: The Ultimate Optimizer Sep 29, 2019 BIG-bench Machine Learning Hyperparameter Optimization
Code Code Available Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization May 29, 2020 Bayesian Optimization Dimensionality Reduction
Code Code Available LambdaOpt: Learn to Regularize Recommender Models in Finer Levels May 28, 2019 Hyperparameter Optimization Recommendation Systems
Code Code Available Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization Dec 11, 2020 Bayesian Optimization BIG-bench Machine Learning
Code Code Available Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey Nov 11, 2024 AutoML Feature Engineering
Code Code Available Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Oct 27, 2019 Bayesian Optimization Hyperparameter Optimization
Code Code Available Large-Scale Evolution of Image Classifiers Mar 3, 2017 Evolutionary Algorithms Hyperparameter Optimization
Code Code Available Large-Scale Gaussian Processes via Alternating Projection Oct 26, 2023 Gaussian Processes Hyperparameter Optimization
Code Code Available A Framework of Transfer Learning in Object Detection for Embedded Systems Nov 12, 2018 Hyperparameter Optimization Object
Code Code Available Gradient-based Hyperparameter Optimization through Reversible Learning Feb 11, 2015 Hyperparameter Optimization
Code Code Available Google Vizier: A Service for Black-Box Optimization Jan 1, 2017 AutoML BIG-bench Machine Learning
Code Code Available Learning Activation Functions for Sparse Neural Networks May 18, 2023 AutoML Hyperparameter Optimization
Code Code Available Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates Jul 23, 2024 Denoising Hyperparameter Optimization
Code Code Available Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings Oct 10, 2019 BIG-bench Machine Learning Hyperparameter Optimization
Code Code Available BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech May 18, 2025 feature selection Hyperparameter Optimization
Code Code Available Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks Jun 1, 2019 feature selection Hyperparameter Optimization
Code Code Available BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits May 29, 2014 Bayesian Optimization Experimental Design
Code Code Available Bayesian Optimization with Robust Bayesian Neural Networks Dec 1, 2016 Bayesian Optimization Deep Reinforcement Learning
Code Code Available Sequential Gaussian Processes for Online Learning of Nonstationary Functions May 24, 2019 Gaussian Processes Hyperparameter Optimization
Code Code Available Sequential Large Language Model-Based Hyper-parameter Optimization Oct 27, 2024 Bayesian Optimization Benchmarking
Code Code Available Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning Jul 13, 2022 BIG-bench Machine Learning Deep Learning
Code Code Available PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections Sep 1, 2023 feature selection Hyperparameter Optimization
Code Code Available Global optimization of Lipschitz functions Mar 7, 2017 global-optimization Hyperparameter Optimization
Code Code Available Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers Nov 29, 2021 Bayesian Optimization Hyperparameter Optimization
Code Code Available Tune: A Research Platform for Distributed Model Selection and Training Jul 13, 2018 Hyperparameter Optimization Model Selection
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