Wei, Susan

8 publications

ICML 2025 A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints Michael Munn, Susan Wei

TMLR 2025 Loss Landscape Degeneracy and Stagewise Development in Transformers Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet

UAI 2025 Temperature Optimization for Bayesian Deep Learning Kenyon Ng, Chris Heide, Liam Hodgkinson, Susan Wei

AISTATS 2025 The Local Learning Coefficient: A Singularity-Aware Complexity Measure Edmund Lau, Zach Furman, George Wang, Daniel Murfet, Susan Wei

ICLR 2024 Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong

ICMLW 2024 Loss Landscape Geometry Reveals Stagewise Development of Transformers George Wang, Matthew Farrugia-Roberts, Jesse Hoogland, Liam Carroll, Susan Wei, Daniel Murfet

NeurIPS 2022 Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong

NeurIPS 2020 A Shooting Formulation of Deep Learning François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer