Selected Publications

A complete list of publications can be found on my Google Scholar profile.

*equal contribution

Conference

Wenlong Chen*, Naoki Kiyohara*, Harrison Bo Hua Zhu*, Jacob Curran-Sebastian, Samir Bhatt, Yingzhen Li. Recurrent Memory for Online Interdomain Gaussian Processes. NeurIPS 2025 [link] [code]
I. Shavindra Jayasekera*, Jacob Si*, Filippo Valdettaro, Wenlong Chen, A. Aldo Faisal, Yingzhen Li. Variational Uncertainty Decomposition for In-Context Learning. NeurIPS 2025 [link] [code]
Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan. Compact Memory for Continual Logistic Regression. NeurIPS 2025
Wenlong Chen*, Yegor Klochkov*, Yang Liu. Post-hoc Bias Scoring Is Optimal For Fair Classification. ICLR 2024 (Spotlight) [link] [code]
Wenlong Chen, Yingzhen Li. Calibrating Transformers via Sparse Gaussian Processes. ICLR 2023 [link] [code]
Andrew Campbell*, Wenlong Chen*, Vincent Stimper*, Jose Miguel Hernandez-Lobato, Yichuan Zhang. A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. ICML 2021 [link] [code]

Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li. Your Image is Secretly the Last Frame of a Pseudo Video. ICLR 2025, DeLTa Workshop [link] [code]

Wenlong Chen*, Bolian Li*, Ruqi Zhang, Yingzhen Li. Bayesian Computation in Deep Learning. Handbook of Markov Chain Monte Carlo, 2nd Edition (in press, expected 2025/26, refereed chapter) [link]