3 citations · 4 across the 6 of their papers we have counts for
7 papers
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…
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-…
Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
Min Tang, Peng Lu, Qing Feng
Population synthesis is a critical task that involves generating synthetic yet realistic representations of populations. It is a fundamental problem in agent-based modeling (ABM),…
Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online Experiments
Qing Feng, Samuel Daulton, Benjamin Letham +2
Online experiments in internet systems, also known as A/B tests, are used for a wide range of system tuning problems, such as optimizing recommender system ranking policies and lea…
Phase Transitions in Learning and Earning under Price Protection Guarantee
Qing Feng, Ruihao Zhu, Stefanus Jasin
Motivated by the prevalence of ``price protection guarantee", which allows a customer who purchased a product in the past to receive a refund from the seller during the so-called p…
Sparse Bayesian Optimization
Sulin Liu, Qing Feng, David Eriksson +2
Bayesian optimization (BO) is a powerful approach to sample-efficient optimization of black-box objective functions. However, the application of BO to areas such as recommendation…
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization
Wesley Maddox, Qing Feng, Max Balandat
Physical simulation-based optimization is a common task in science and engineering. Many such simulations produce image- or tensor-based outputs where the desired objective is a fu…