activity
20232026
most citedLILO: Bayesian Optimization with Natural Language Feedback

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Offline-to-Online Creative Optimization with Generative Models and Adaptive Testing

Kevin Lee, Benjamin Letham, Zhiyuan Jerry Lin +5

Ad creative optimization is increasingly constrained by evaluation rather than generation. Generative models can produce many plausible creatives, but reliable evaluation requires…

cs.LG2025★ 1 cited

LILO: Bayesian Optimization with Natural Language Feedback

Katarzyna Kobalczyk, Zhiyuan Jerry Lin, Benjamin Letham +3

Many real-world optimization problems are guided by complex, subjective preferences that are difficult to express as explicit closed-form objectives. In response, we introduce Lang…

cs.LG2025

GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding

Wenying Luo, Zhiyuan Lin, Wenhao Xu +2

Human mobility traces, often recorded as sequences of check-ins, provide a unique window into both short-term visiting patterns and persistent lifestyle regularities. In this work…

cs.LG2024

Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy

Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen

In contemporary data-driven environments, the generation and processing of multivariate time series data is an omnipresent challenge, often complicated by time delays between diffe…

cs.LG2023

Joint Composite Latent Space Bayesian Optimization

Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat +1

Bayesian Optimization (BO) is a technique for sample-efficient black-box optimization that employs probabilistic models to identify promising input locations for evaluation. When d…