I am a second year Ph.D. student in Stanford University. I think about problems in machine learning and deep learning under the supervision of Stefano Ermon. I did my undergrad at Tsinghua University, where I was lucky enough to collaborate with Jun Zhu and Lawrence Carin on scalable Bayesian machine learning.

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Contact: tsong at cs.stanford.edu

A-NICE-MC: Adversarial Training for MCMC

Jiaming Song, Shengjia Zhao, Stefano Ermon
To appear in the 30th Neural Information Processing Systems (NIPS 2017). [code]
Abridged version in ICML 2017 Workshop on Implicit Models [one pager]

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InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

Yunzhu Li, Jiaming Song, Stefano Ermon
To appear in the 30th Neural Information Processing Systems conference (NIPS 2017). [code]

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Learning Hierarchical Features from Generative Models

Shengjia Zhao, Jiaming Song, Stefano Ermon
In the 34th International Conference on Machine Learning (ICML 2017). [code] [blog]

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Generative Adversarial Learning of Markov Chains

Jiaming Song, Shengjia Zhao, Stefano Ermon
In the 5th International Conference on Learning Representations (ICLR 2017) Workshop Track. [code] [poster]

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InfoVAE: Information Maximizing Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon
arXiv preprint arXiv:1706.02262. [code]

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Towards Deeper Understanding of Variational Autoencoding Models

Shengjia Zhao, Jiaming Song, Stefano Ermon
arXiv preprint arXiv:1702.08658. [code] [blog]

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On the Limits of Learning Representations with Label-Based Supervision

Jiaming Song, Russell Stewart, Shengjia Zhao, Stefano Ermon

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Factored Sigmoid Belief Networks for Sequence Learning

Jiaming Song, Zhe Gan, Lawrence Carin
In the 33rd International Conference on Machine Learning (ICML 2016).

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Organizational Churn: A Roll of the Dice?

Canyao Liu*, Jiaming Song*, Chuan Yu*.
Undergraduate Mathematics and its Applications (UMAP), Issue 36.2.

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Max-Margin Nonparametric Latent Feature Relational Models for Link Prediction

Jun Zhu, Jiaming Song, Bei Chen
arXiv preprint arXiv:1602.07428
Under review of Artificial Intelligence Journal

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Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
In the 30th Association for the Advancement of Artificial Intelligence Conference (AAAI 2016).