Runtian Zhai
9 papers · 2020–2025 · 3 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
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
Venues
Top co-authors
Research topics
Keywords
representation learning
(2)
distributionally robust optimization
(2)
conditional value at risk
(2)
empirical risk minimization
(2)
distribution shift
(2)
model robustness
(1)
kernel principal component analysis
(1)
contrastive learning
(1)
robust classification
(1)
data augmentation
(1)
adversarial training
(1)
subpopulation shift
(1)
semi-supervised learning
(1)
outlier detection
(1)
self-supervised learning
(1)
importance weighting
(1)
worst-case performance
(1)
outlier robustness
(1)
optimal transport
(1)
adversarial learning
(1)
Papers
Contextures: Representations from Contexts
ICML 2025
Spectrally Transformed Kernel Regression
ICLR 2024
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
ICLR 2024
Characterizing Out-of-Distribution Error via Optimal Transport
NeurIPS 2023
Responsible AI (RAI) Games and Ensembles
NeurIPS 2023
Understanding Why Generalized Reweighting Does Not Improve Over ERM
ICLR 2023
Boosted CVaR Classification
NeurIPS 2021
DORO: Distributional and Outlier Robust Optimization
ICML 2021
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
ICLR 2020