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Kun Zhang: Causal Principles Meet Deep Learning: Successes and Challenges.
Kun Zhang
Sat Dec 03 12:25 PM -- 12:30 PM (PST) @
Author Information
Kun Zhang (CMU & MBZUAI)
More from the Same Authors
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2022 : Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors »
Zeyu Tang · Yatong Chen · Yang Liu · Kun Zhang -
2022 : Scalable Causal Discovery with Score Matching »
Francesco Montagna · Nicoletta Noceti · Lorenzo Rosasco · Kun Zhang · Francesco Locatello -
2022 Spotlight: Latent Hierarchical Causal Structure Discovery with Rank Constraints »
Biwei Huang · Charles Jia Han Low · Feng Xie · Clark Glymour · Kun Zhang -
2022 : Kun Zhang: Causal Principles Meet Deep Learning: Successes and Challenges. »
Kun Zhang -
2022 Workshop: Causal Machine Learning for Real-World Impact »
Nick Pawlowski · Jeroen Berrevoets · Caroline Uhler · Kun Zhang · Mihaela van der Schaar · Cheng Zhang -
2022 Poster: On the Identifiability of Nonlinear ICA: Sparsity and Beyond »
Yujia Zheng · Ignavier Ng · Kun Zhang -
2022 Poster: Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models »
Haoyue Dai · Peter Spirtes · Kun Zhang -
2022 Poster: Latent Hierarchical Causal Structure Discovery with Rank Constraints »
Biwei Huang · Charles Jia Han Low · Feng Xie · Clark Glymour · Kun Zhang -
2022 Poster: MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models »
Erdun Gao · Ignavier Ng · Mingming Gong · Li Shen · Wei Huang · Tongliang Liu · Kun Zhang · Howard Bondell -
2022 Poster: Causal Discovery in Linear Latent Variable Models Subject to Measurement Error »
Yuqin Yang · AmirEmad Ghassami · Mohamed Nafea · Negar Kiyavash · Kun Zhang · Ilya Shpitser -
2022 Poster: Unsupervised Image-to-Image Translation with Density Changing Regularization »
Shaoan Xie · Qirong Ho · Kun Zhang -
2022 Poster: Factored Adaptation for Non-Stationary Reinforcement Learning »
Fan Feng · Biwei Huang · Kun Zhang · Sara Magliacane -
2022 Poster: Counterfactual Fairness with Partially Known Causal Graph »
Aoqi Zuo · Susan Wei · Tongliang Liu · Bo Han · Kun Zhang · Mingming Gong -
2022 Poster: Temporally Disentangled Representation Learning »
Weiran Yao · Guangyi Chen · Kun Zhang -
2022 Poster: Truncated Matrix Power Iteration for Differentiable DAG Learning »
Zhen Zhang · Ignavier Ng · Dong Gong · Yuhang Liu · Ehsan Abbasnejad · Mingming Gong · Kun Zhang · Javen Qinfeng Shi -
2020 Workshop: Causal Discovery and Causality-Inspired Machine Learning »
Biwei Huang · Sara Magliacane · Kun Zhang · Danielle Belgrave · Elias Bareinboim · Daniel Malinsky · Thomas Richardson · Christopher Meek · Peter Spirtes · Bernhard Schölkopf -
2017 Poster: Learning Causal Structures Using Regression Invariance »
AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang