Chen, Xinshi

11 publications

NeurIPSW 2022 A Deep Learning Approach to Recover Conditional Independence Graphs Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen

ICLR 2022 Provable Learning-Based Algorithm for Sparse Recovery Xinshi Chen, Haoran Sun, Le Song

NeurIPS 2021 Multi-Task Learning of Order-Consistent Causal Graphs Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song

NeurIPSW 2020 A Framework for Differentiable Discovery of Graph Algorithms Hanjun Dai, Xinshi Chen, Yu Li, Xin Gao, Le Song

ICLR 2020 Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

ICLR 2020 GLAD: Learning Sparse Graph Recovery Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinvas Aluru, Han Liu, Le Song

ICML 2020 Learning to Stop While Learning to Predict Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song

ICLR 2020 RNA Secondary Structure Prediction by Learning Unrolled Algorithms Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song

NeurIPS 2020 Understanding Deep Architecture with Reasoning Layer Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song

ICML 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

ICML 2019 Particle Flow Bayes’ Rule Xinshi Chen, Hanjun Dai, Le Song