Lan, Shiwei

8 publications

ICLR 2025 Bayesian Regularization of Latent Representation Chukwudi Paul Obite, Zhi Chang, Keyan Wu, Shiwei Lan

NeurIPS 2025 Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes Guangting Yu, Shiwei Lan

TMLR 2024 Scaling up Bayesian Neural Networks with Neural Networks Zahra Moslemi, Yang Meng, Shiwei Lan, Babak Shahbaba

NeurIPS 2023 Bayesian Learning via Q-Exponential Process Shuyi Li, Michael O'Connor, Shiwei Lan

JMLR 2022 Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models Shiwei Lan

UAI 2020 Nonparametric Fisher Geometry with Application to Density Estimation Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba

ICML 2014 Spherical Hamiltonian Monte Carlo for Constrained Target Distributions Shiwei Lan, Bo Zhou, Babak Shahbaba

AAAI 2014 Wormhole Hamiltonian Monte Carlo Shiwei Lan, Jeffrey Streets, Babak Shahbaba