Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
AgentCBO: Causal Belief Routing for Bayesian Optimization under Unknown Graphs
Qiyu Wei, Xin Zhang, Richard Allmendinger +1
Causal Bayesian optimization (CBO) typically relies on the unrealistic assumption of a perfectly known causal graph. Recent methods relax this constraint by coupling optimization w…
cs.LG2026
Regret-Based -optimal Stopping Criteria for Bayesian Optimization
Haowei Wang, Jingyi Wang, Qiyu Wei
Bayesian optimization (BO) is a widely used iterative black-box optimization method that utilizes Gaussian process (GP) surrogate models. In practice, BO is typically terminated af…
cs.LG2025
Counterfactual Credit Guided Bayesian Optimization
Qiyu Wei, Haowei Wang, Richard Allmendinger +1
Bayesian optimization has emerged as a prominent methodology for optimizing expensive black-box functions by leveraging Gaussian process surrogates, which focus on capturing the gl…