| Calibrated Regression Against An Adversary Without Regret | Feb 23, 2023 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Adaptive Sampling for Probabilistic Forecasting under Distribution Shift | Feb 23, 2023 | Bayesian OptimizationTime Series | —Unverified | 0 |
| Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles | Feb 22, 2023 | Bayesian OptimizationDiversity | —Unverified | 0 |
| Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles | Feb 20, 2023 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks | Feb 17, 2023 | Bayesian Optimizationglobal-optimization | CodeCode Available | 0 |
| Robust expected improvement for Bayesian optimization | Feb 16, 2023 | Active LearningBayesian Optimization | —Unverified | 0 |
| Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization | Feb 16, 2023 | Bayesian Optimization | CodeCode Available | 0 |
| Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study | Feb 14, 2023 | Bayesian Optimization | —Unverified | 0 |
| Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks | Feb 14, 2023 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| Transfer Learning for Bayesian Optimization: A Survey | Feb 12, 2023 | Bayesian OptimizationDrug Design | —Unverified | 0 |