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cs.LG2025
Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach
Wenxuan Li, Taiyi Wang, Eiko Yoneki
Optimizing black-box functions in high-dimensional search spaces has been known to be challenging for traditional Bayesian Optimization (BO). In this paper, we introduce HiBO, a no…
cs.LG2024
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search
Jakob Hartmann, Guoliang He, Eiko Yoneki
The real-world effectiveness of deep neural networks often depends on their latency, thereby necessitating optimization techniques that can reduce a model's inference time while pr…