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cs.LG2025
Enhancing Trust-Region Bayesian Optimization via Newton Methods
Quanlin Chen, Yiyu Chen, Jing Huo +3
Bayesian Optimization (BO) has been widely applied to optimize expensive black-box functions while retaining sample efficiency. However, scaling BO to high-dimensional spaces remai…
cs.LG2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
Dongdong Ren, Wenbin Li, Tianyu Ding +5
Recent advancements in model pruning have focused on developing new algorithms and improving upon benchmarks. However, the practical application of these algorithms across various…