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Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration

Nov 15, 2020
Shengjia Zhao, Stefano Ermon


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Privacy Preserving Recalibration under Domain Shift

Aug 21, 2020
Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese


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Individual Calibration with Randomized Forecasting

Jul 05, 2020
Shengjia Zhao, Tengyu Ma, Stefano Ermon


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A Framework for Sample Efficient Interval Estimation with Control Variates

Jun 18, 2020
Shengjia Zhao, Christopher Yeh, Stefano Ermon


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Permutation Invariant Graph Generation via Score-Based Generative Modeling

Mar 02, 2020
Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon

* 14 pages, AISTATS 2020 

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A Theory of Usable Information Under Computational Constraints

Feb 25, 2020
Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon

* ICLR 2020 (Talk) 

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Approximating Human Judgment of Generated Image Quality

Nov 30, 2019
Y. Alex Kolchinski, Sharon Zhou, Shengjia Zhao, Mitchell Gordon, Stefano Ermon

* To appear in the Shared Visual Representations in Human and Machine Intelligence workshop at NeurIPS 2019. The first two authors contributed equally to the manuscript 

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Cross Domain Imitation Learning

Sep 30, 2019
Kun Ho Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon


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Learning Neural PDE Solvers with Convergence Guarantees

Jun 04, 2019
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon


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Learning Controllable Fair Representations

Dec 11, 2018
Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon


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Bias and Generalization in Deep Generative Models: An Empirical Study

Nov 08, 2018
Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon


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

Jul 08, 2018
Shengjia Zhao, Jiaming Song, Stefano Ermon


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InfoVAE: Information Maximizing Variational Autoencoders

May 30, 2018
Shengjia Zhao, Jiaming Song, Stefano Ermon


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Amortized Inference Regularization

May 23, 2018
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon


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A-NICE-MC: Adversarial Training for MCMC

Mar 14, 2018
Jiaming Song, Shengjia Zhao, Stefano Ermon

* NIPS 2017 

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Learning Hierarchical Features from Generative Models

Jun 09, 2017
Shengjia Zhao, Jiaming Song, Stefano Ermon

* ICML'2017 

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On the Limits of Learning Representations with Label-Based Supervision

Mar 07, 2017
Jiaming Song, Russell Stewart, Shengjia Zhao, Stefano Ermon

* Submitted to ICLR 2017 Workshop Track 

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Towards Deeper Understanding of Variational Autoencoding Models

Feb 28, 2017
Shengjia Zhao, Jiaming Song, Stefano Ermon


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