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cs.LG2026
Gaussian Process Bandits with Paired Auxiliary Observations
Weibo Huang, Qing Feng, Ruihao Zhu +1
Bayesian optimization (BO) is widely used for expensive black-box optimization, yet observation noise makes each evaluation less informative and slows posterior learning. Standard…
cond-mat.dis-nn2026
Optimizing p-spin models through hypergraph neural networks and deep reinforcement learning
Li Zeng, Mutian Shen, Tianle Pu +5
p-spin glasses, characterized by frustrated many-body interactions beyond the conventional pairwise case (p>2), are prototypical disordered systems whose ground-state search is NP-…