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Likelihood-based differentiable structure learning
NeurIPS 2024 -
Data-driven Forecasting and Reference Prices with Exposure Effect
Naval Research Logistics 2024 -
High-dimensional sparse singleโindex regression via HilbertโSchmidt independence criterion
Statistics and Computing 2024 -
Global Optimality in Bivariate Gradient-based DAG Learning
NeurIPS 2023 -
Optimizing NOTEARS objective via topological swaps
ICML 2023  |  Code  |  Proceedings -
A simple approach to balance task loss in multi-task learning
IEEE Big Data 2021 -
Deep multi-task augmented feature learning via hierarchical graph neural network
ECML PKDD 2021