Publications

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Publications

• Optimizing NOTEARS objective via topological swaps

  Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar

  ICML 2023

• A Simple Approach to Balance Task Loss in Multi-Task Learning

  Sicong Liang, Chang Deng, Yu Zhang

  IEEE Big Data 2021

• Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network

  Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang

  ECML PKDD 2021

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Preprint

• Data-driven Forecasting and Reference Prices with Exposure Effect

  Opher Baron, Chang Deng, Simai He, Hongsong Yuan

  SSRN 2022

• High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion

  Runxiong Wu, Chang Deng, Xin Chen

  Submitted 2021