Yunxin Gao
Events1
Conferences1
Talks1
Years active2025
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 8, 2025 | PyData Boston 2025 | PyData | speaker | Rethinking Feature Importance: Evaluating SHAP and TreeSHAP for Tree-Based Machine Learning ModelsTree-based machine learning models such as XGBoost, LightGBM, and CatBoost are widely used, but understanding their predictions remains challenging. SHAP…Show lessTree-based machine learning models such as XGBoost, LightGBM, and CatBoost are widely used, but understanding their predictions remains challenging. SHAP (SHapley Additive exPlanations) provides feature attributions based on Shapley values, yet its assumptions — feature independence, additivity, and consistency — are often violated in practice, potentially producing misleading explanations. | Video |
Frequent co-speakers
No one else spoke at two or more of the same events.
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.