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Papers
CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract)
AAAI 2026
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
ICLR 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
EMNLP 2025
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
ICML 2024
Distributional Semantics Meets Multi-Label Learning
AAAI 2019
Random Function Priors for Correlation Modeling
ICML 2019
Keyphrase Generation with Correlation Constraints
EMNLP 2018
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning
AISTATS 2014