Shengjia Zhao

Researcher, OpenAI

Joined

October 2017

Names

Shengjia Zhao

Emails

****@stanford.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

OpenAI (openai.com)

2022 – Present

PhD student

Stanford University (stanford.edu)

2016 – 2022

Undergrad student

Tsinghua University (tsinghua.edu.cn)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Stefano Ermon

2016 – 2022

Expertise

Large models

2022 – Present

Uncertainty quantification

2019 – Present

Publications

Generalizing Bayesian Optimization with Decision-theoretic Entropies
Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
- Published: 31 Oct 2022, Last Modified: 16 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Local Calibration: Metrics and Recalibration
Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Edward Schmerling, Marco Pavone
- Published: 20 May 2022, Last Modified: 05 May 2023
- UAI 2022 Poster
- Readers: Everyone
Comparing Distributions by Measuring Differences that Affect Decision Making
Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Oral
- Readers: Everyone
Provably Calibrated Regression Under Distribution Drift
Shengjia Zhao, YUSUKE TASHIRO, Danny Tse, Stefano Ermon
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Local Calibration: Metrics and Recalibration
Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
H-Entropy Search: Generalizing Bayesian Optimization with a Decision-theoretic Uncertainty Measure
Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Reliable Decisions with Threshold Calibration
Roshni Sahoo, Shengjia Zhao, Alyssa Chen, Stefano Ermon
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
Reliable Decisions with Threshold Calibration
Roshni Sahoo, Shengjia Zhao, Alyssa Chen, Stefano Ermon
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
H-divergence: A Decision-Theoretic Probability Discrepancy Measure
Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 20 publications

Co-Authors

View all 33 co-authors