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Hyperparameter Optimization

Papers archive 2025-07-28

archive papers tagged: 813 · with a code link: 339 · where Syntology ran a sample: 90 (75 with a run with no instrument failure, 15 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (90 of 813 tagged: 75 with a run with no instrument failure, 15 where every run was a failure of Syntology's instrument)

Page 8 of 9: papers 701 to 800 of 813, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Convergence Properties of Stochastic Hypergradients
  13 Nov 2020 0 repositories listed
• Genetic-algorithm-optimized neural networks for gravitational wave classification
  9 Oct 2020 0 repositories listed
• A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization
  7 Oct 2020 0 repositories listed
• TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
  4 Oct 2020 0 repositories listed
• Multi-Source Unsupervised Hyperparameter Optimization
  28 Sep 2020 0 repositories listed
• Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons
  28 Sep 2020 0 repositories listed
• Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning
  28 Sep 2020 0 repositories listed
• Tuning Word2vec for Large Scale Recommendation Systems
  24 Sep 2020 0 repositories listed
• HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks
  4 Sep 2020 0 repositories listed
• Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models
  19 Aug 2020 0 repositories listed
• Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
  29 Jul 2020 0 repositories listed
• Practical and sample efficient zero-shot HPO
  27 Jul 2020 0 repositories listed
• A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning
  21 Jul 2020 0 repositories listed
• Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization
  20 Jul 2020 0 repositories listed
• A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
  10 Jul 2020 0 repositories listed
• Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
  7 Jul 2020 0 repositories listed
• Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery
  7 Jul 2020 0 repositories listed
• Understanding the effect of hyperparameter optimization on machine learning models for structure design problems
  4 Jul 2020 0 repositories listed
• Simple and Scalable Parallelized Bayesian Optimization
  24 Jun 2020 0 repositories listed
• The Statistical Cost of Robust Kernel Hyperparameter Tuning
  14 Jun 2020 0 repositories listed
• AutoHAS: Efficient Hyperparameter and Architecture Search
  5 Jun 2020 0 repositories listed
• UFO-BLO: Unbiased First-Order Bilevel Optimization
  5 Jun 2020 0 repositories listed
• Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs
  2 Jun 2020 0 repositories listed
• Hyperparameter optimization with REINFORCE and Transformers
  1 Jun 2020 0 repositories listed
• HyperSTAR: Task-Aware Hyperparameters for Deep Networks
  21 May 2020 0 repositories listed
• Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
  21 Apr 2020 0 repositories listed
• Online Hyperparameter Search Interleaved with Proximal Parameter Updates
  6 Apr 2020 0 repositories listed
• Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality
  27 Mar 2020 0 repositories listed
• Multi-Task Multicriteria Hyperparameter Optimization
  15 Feb 2020 0 repositories listed
• PHOTONAI -- A Python API for Rapid Machine Learning Model Development
  13 Feb 2020 0 repositories listed
• Pairwise Neural Networks (PairNets) with Low Memory for Fast On-Device Applications
  10 Feb 2020 0 repositories listed
• Hyperparameter Optimization for Forecasting Stock Returns
  28 Jan 2020 0 repositories listed
• PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
  24 Jan 2020 0 repositories listed
• Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization
  16 Jan 2020 0 repositories listed
• Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization
  12 Jan 2020 0 repositories listed
• Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems
  1 Jan 2020 0 repositories listed
• Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
  30 Dec 2019 0 repositories listed
• Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS
  12 Dec 2019 0 repositories listed
• Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES
  12 Dec 2019 0 repositories listed
• Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax
  11 Dec 2019 0 repositories listed
• Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
  9 Dec 2019 0 repositories listed
• Improved Covariance Matrix Estimator using Shrinkage Transformation and Random Matrix Theory
  8 Dec 2019 0 repositories listed
• ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning
  2 Dec 2019 0 repositories listed
• A Simple Heuristic for Bayesian Optimization with A Low Budget
  18 Nov 2019 0 repositories listed
• A Neural Network Based on the Johnson S_U Translation System and Related Application to Electromyogram Classification
  14 Nov 2019 0 repositories listed
• Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics
  11 Nov 2019 0 repositories listed
• Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem
  24 Oct 2019 0 repositories listed
• Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning
  17 Oct 2019 0 repositories listed
• Constrained Bayesian Optimization with Max-Value Entropy Search
  15 Oct 2019 0 repositories listed
• A Quantile-based Approach for Hyperparameter Transfer Learning
  30 Sep 2019 0 repositories listed
• Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
  27 Sep 2019 0 repositories listed
• On Federated Learning of Deep Networks from Non-IID Data: Parameter Divergence and the Effects of Hyperparametric Methods
  25 Sep 2019 0 repositories listed
• Scheduling the Learning Rate Via Hypergradients: New Insights and a New Algorithm
  25 Sep 2019 0 repositories listed
• Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space
  9 Sep 2019 0 repositories listed
• A scalable constructive algorithm for the optimization of neural network architectures
  7 Sep 2019 0 repositories listed
• Transferable Neural Processes for Hyperparameter Optimization
  7 Sep 2019 0 repositories listed
• Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
  19 Aug 2019 0 repositories listed
• Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection
  18 Aug 2019 0 repositories listed
• Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
  15 Aug 2019 0 repositories listed
• PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design
  11 Jun 2019 0 repositories listed
• Evolving Rewards to Automate Reinforcement Learning
  18 May 2019 0 repositories listed
• Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
  14 May 2019 0 repositories listed
• Exploring the Hyperparameter Landscape of Adversarial Robustness
  9 May 2019 0 repositories listed
• Optimizing for Generalization in Machine Learning with Cross-Validation Gradients
  1 May 2019 0 repositories listed
• Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity
  24 Apr 2019 0 repositories listed
• Adaptive Bayesian Linear Regression for Automated Machine Learning
  1 Apr 2019 0 repositories listed
• How to "DODGE" Complex Software Analytics?
  5 Feb 2019 0 repositories listed
• Instance-Level Microtubule Tracking
  17 Jan 2019 0 repositories listed
• Recombination of Artificial Neural Networks
  12 Jan 2019 0 repositories listed
• Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
  1 Dec 2018 0 repositories listed
• Scalable Hyperparameter Transfer Learning
  1 Dec 2018 0 repositories listed
• Private Selection from Private Candidates
  19 Nov 2018 0 repositories listed
• Using Known Information to Accelerate HyperParameters Optimization Based on SMBO
  8 Nov 2018 0 repositories listed
• Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates
  6 Nov 2018 0 repositories listed
• Deep Genetic Network
  5 Nov 2018 0 repositories listed
• Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
  1 Nov 2018 0 repositories listed
• Preprocessor Selection for Machine Learning Pipelines
  23 Oct 2018 0 repositories listed
• CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
  8 Oct 2018 0 repositories listed
• Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components
  1 Sep 2018 0 repositories listed
• Is One Hyperparameter Optimizer Enough?
  29 Jul 2018 0 repositories listed
• Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
  19 Jul 2018 0 repositories listed
• Bilevel Programming for Hyperparameter Optimization and Meta-Learning
  13 Jun 2018 0 repositories listed
• Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning
  1 Jun 2018 0 repositories listed
• Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction
  1 Jun 2018 0 repositories listed
• Holarchic Structures for Decentralized Deep Learning - A Performance Analysis
  7 May 2018 0 repositories listed
• An LP-based hyperparameter optimization model for language modeling
  29 Mar 2018 0 repositories listed
• Best arm identification in multi-armed bandits with delayed feedback
  29 Mar 2018 0 repositories listed
• Natural Gradient Deep Q-learning
  20 Mar 2018 0 repositories listed
• Autostacker: A Compositional Evolutionary Learning System
  2 Mar 2018 0 repositories listed
• Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning
  5 Jan 2018 0 repositories listed
• AMLA: an AutoML frAmework for Neural Network Design
  1 Jan 2018 0 repositories listed
• Online Hyper-Parameter Optimization
  1 Jan 2018 0 repositories listed
• Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing
  11 Dec 2017 0 repositories listed
• Transfer Learning to Learn with Multitask Neural Model Search
  30 Oct 2017 0 repositories listed
• Learning to Warm-Start Bayesian Hyperparameter Optimization
  17 Oct 2017 0 repositories listed
• SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
  5 Jul 2017 0 repositories listed
• Open Loop Hyperparameter Optimization and Determinantal Point Processes
  6 Jun 2017 0 repositories listed
• An effective algorithm for hyperparameter optimization of neural networks
  23 May 2017 0 repositories listed
• Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates
  30 Mar 2017 0 repositories listed
• Online Convex Optimization with Unconstrained Domains and Losses
  7 Mar 2017 0 repositories listed