2 papers
cs.LG2026
Refining the Information Bottleneck via Adversarial Information Separation
Shuai Ning, Zhenpeng Wang, Lin Wang +5
Generalizing from limited data is particularly critical for models in domains such as material science, where task-relevant features in experimental datasets are often heavily conf…
cs.LG2021
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution
Minfang Lu, Shuai Ning, Shuangrong Liu +4
Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details. Most classical methods for such problems are bas…