Susan Wei
6 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Optimization & Theory · Machine Learning
(3)
Core AI
(2)
Optimization & Theory · Deep Learning
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Reasoning
(1)
Keywords
fair machine learning
(2)
partially directed acyclic graph
(2)
sensitive attribute
(2)
neural network optimization
(1)
loss landscape
(1)
constrained optimization
(1)
model complexity
(1)
bayesian model selection
(1)
deep neural network
(1)
bayesian deep learning
(1)
ordinary differential equation
(1)
residual network
(1)
temperature scaling
(1)
counterfactual fairness
(1)
continuous-depth network
(1)
causal graph
(1)
posterior predictive distribution
(1)
cold posterior effect
(1)
fine-tuning performance
(1)
singular learning theory
(1)
Papers
A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
ICML 2025
Temperature Optimization for Bayesian Deep Learning
UAI 2025
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
AISTATS 2025
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
ICLR 2024
Counterfactual Fairness with Partially Known Causal Graph
NeurIPS 2022
A shooting formulation of deep learning
NeurIPS 2020