Jiayun Wu

8 papers · 2022–2025 · 4 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

ICML (3) ICLR (2) NeurIPS (2) AISTATS (1)

Top co-authors

Jiashuo Liu (6) Peng Cui (6) Bo Li (4) Weihuang Zheng (1) Chi Jin (1) Jie Peng (1) Youyong Kong (1) Zhiwei Steven Wu (1) Shange Tang (1) Hao Zou (1)

Research topics

Machine Learning (7) Application Areas (5) Optimization & Theory (4) Learning Types (3) Artificial Intelligence (2) Core AI (2) Core Methods (2) Deep Learning (1) Mathematics & Optimization (1) Architectures (1) Mathematics (1)

Keywords

out-of-distribution generalization (5) distribution shift (3) gradient flow (3) covariate shift (2) excess risk (1) information maximization (1) principal component regression (1) pac bound (1) robust learning (1) distributionally robust optimization (1) data heterogeneity (1) benign overfitting (1) invariant learning (1) distributional shift (1) concept shift (1) manifold geometry (1) causal learning (1) sub-population stability (1) dynamic re-weighting (1) graph neural network (1)

Papers

Benign Overfitting in Out-of-Distribution Generalization of Linear Models ICLR 2025 Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage ICML 2025 Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph ICML 2025 Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NeurIPS 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications ICML 2024 Measure the Predictive Heterogeneity ICLR 2023 Distributionally Robust Optimization with Data Geometry NeurIPS 2022