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Dive into the research topics where Shengjia Zhao is active.

Publication


Featured researches published by Shengjia Zhao.


international conference on machine learning | 2017

Learning Hierarchical Features from Deep Generative Models.

Shengjia Zhao; Jiaming Song


arXiv: Learning | 2017

Towards Deeper Understanding of Variational Autoencoding Models.

Shengjia Zhao; Jiaming Song


neural information processing systems | 2017

A-NICE-MC: Adversarial Training for MCMC

Jiaming Song; Shengjia Zhao


arXiv: Learning | 2017

InfoVAE: Information Maximizing Variational Autoencoders.

Shengjia Zhao; Jiaming Song


national conference on artificial intelligence | 2016

Closing the gap between short and long XORs for model counting

Shengjia Zhao; Sorathan Chaturapruek; Ashish Sabharwal


neural information processing systems | 2016

Adaptive Concentration Inequalities for Sequential Decision Problems

Shengjia Zhao; Enze Zhou; Ashish Sabharwal


neural information processing systems | 2018

Amortized Inference Regularization

Rui Shu; Hung H. Bui; Shengjia Zhao; Mykel J. Kochenderfer


uncertainty in artificial intelligence | 2018

A Lagrangian Perspective on Latent Variable Generative Models

Shengjia Zhao; Jiaming Song


neural information processing systems | 2018

Bias and Generalization in Deep Generative Models: An Empirical Study

Shengjia Zhao; Hongyu Ren; Arianna Yuan; Jiaming Song; Noah D. Goodman


arXiv: Machine Learning | 2018

The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling

Shengjia Zhao; Jiaming Song

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