| The Knowledge Gradient Policy Using A Sparse Additive Belief Model | Mar 18, 2015 | global-optimization | —Unverified | 0 |
| ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets | May 20, 2025 | global-optimization | —Unverified | 0 |
| The True Destination of EGO is Multi-local Optimization | Apr 19, 2017 | global-optimization | —Unverified | 0 |
| Thinking inside the box: A tutorial on grey-box Bayesian optimization | Jan 2, 2022 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Time-Modulated EM Skins for Integrated Sensing and Communications | May 11, 2025 | global-optimizationIntegrated sensing and communication | —Unverified | 0 |
| Time series modeling by a regression approach based on a latent process | Dec 25, 2013 | global-optimizationregression | —Unverified | 0 |
| Top-Down Regularization of Deep Belief Networks | Dec 1, 2013 | global-optimizationObject Recognition | —Unverified | 0 |
| Toward an ImageNet Library of Functions for Global Optimization Benchmarking | Jun 27, 2022 | Benchmarkingglobal-optimization | —Unverified | 0 |
| Training Neural Networks using SAT solvers | Jun 10, 2022 | global-optimizationimage-classification | —Unverified | 0 |
| TREGO: a Trust-Region Framework for Efficient Global Optimization | Jan 18, 2021 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System | Oct 28, 2019 | Diversityglobal-optimization | —Unverified | 0 |
| TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents | Jul 14, 2022 | global-optimizationLanguage Modelling | —Unverified | 0 |
| Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization | Mar 26, 2022 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction | Apr 20, 2018 | BIG-bench Machine Learningglobal-optimization | —Unverified | 0 |
| Unbounded Bayesian Optimization via Regularization | Aug 14, 2015 | Bayesian OptimizationBenchmarking | —Unverified | 0 |
| Uncertainty Quantification for Bayesian Optimization | Feb 4, 2020 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Understanding Memory B Cell Selection | Dec 9, 2020 | global-optimization | —Unverified | 0 |
| Unsupervised spectral-band feature identification for optimal process discrimination | Dec 7, 2022 | global-optimization | —Unverified | 0 |
| Update Strength in EDAs and ACO: How to Avoid Genetic Drift | Jul 14, 2016 | global-optimization | —Unverified | 0 |
| Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design | May 11, 2020 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization | May 1, 2015 | Document SummarizationExtractive Summarization | —Unverified | 0 |
| Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais | Jul 5, 2021 | Evolutionary Algorithmsglobal-optimization | —Unverified | 0 |
| Variable-fidelity expected improvement method for efficient global optimization of expensive functions | May 5, 2018 | global-optimization | —Unverified | 0 |
| Vehicle Speed Prediction using Deep Learning | Oct 25, 2015 | Deep Learningglobal-optimization | —Unverified | 0 |
| Video Region Annotation with Sparse Bounding Boxes | Aug 17, 2020 | global-optimization | —Unverified | 0 |