| Time series modeling by a regression approach based on a latent process | Dec 25, 2013 | global-optimizationregression | —Unverified | 0 | 0 |
| Top-Down Regularization of Deep Belief Networks | Dec 1, 2013 | global-optimizationObject Recognition | —Unverified | 0 | 0 |
| Toward an ImageNet Library of Functions for Global Optimization Benchmarking | Jun 27, 2022 | Benchmarkingglobal-optimization | —Unverified | 0 | 0 |
| Training Neural Networks using SAT solvers | Jun 10, 2022 | global-optimizationimage-classification | —Unverified | 0 | 0 |
| TREGO: a Trust-Region Framework for Efficient Global Optimization | Jan 18, 2021 | Bayesian Optimizationglobal-optimization | —Unverified | 0 | 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 | 0 |
| TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents | Jul 14, 2022 | global-optimizationLanguage Modelling | —Unverified | 0 | 0 |
| Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization | Mar 26, 2022 | Bayesian Optimizationglobal-optimization | —Unverified | 0 | 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 | 0 |
| Unbounded Bayesian Optimization via Regularization | Aug 14, 2015 | Bayesian OptimizationBenchmarking | —Unverified | 0 | 0 |
