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| What should a neuron aim for? Designing local objective functions based on information theory | Dec 3, 2024 | global-optimization | CodeCode Available | 1 |
| CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning | Dec 2, 2024 | Bayesian OptimizationEfficient Exploration | —Unverified | 0 |
| A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm | Nov 28, 2024 | global-optimization | —Unverified | 0 |
| Permutative redundancy and uncertainty of the objective in deep learning | Nov 11, 2024 | Deep Learningglobal-optimization | —Unverified | 0 |
| Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs | Nov 5, 2024 | Blockingglobal-optimization | —Unverified | 0 |
| Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs | Nov 5, 2024 | global-optimization | —Unverified | 0 |
| Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance | Oct 31, 2024 | global-optimization | —Unverified | 0 |
| Bayesian Optimization for Hyperparameters Tuning in Neural Networks | Oct 29, 2024 | Bayesian OptimizationComputational Efficiency | —Unverified | 0 |
| Optimizing Posterior Samples for Bayesian Optimization via Rootfinding | Oct 29, 2024 | Bayesian Optimizationglobal-optimization | CodeCode Available | 1 |
