Yujia Jin

PhD student, Stanford University

Joined

May 2020

Names

Yujia Jin

Emails

****@stanford.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Stanford University (stanford.edu)

2018 – Present

Advisors, Relations & Conflicts

PhD Advisor

2018 – Present

Expertise

optimization theory

2018 – Present

first-order method acceleration

2018 – Present

convex-concave optimization

2018 – Present

Publications

Reusing Samples in Variance Reduction
Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
- ALT 2026
- Readers: Everyone
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang
- ICML 2025 spotlightposter
- Readers: Everyone
Truncated Variance Reduced Value Iteration
Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
- NeurIPS 2024 poster
- Readers: Everyone
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
Adam Bouland, Yosheb M Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
- ICML 2023 Poster
- Readers: Everyone
Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford
- Published: 31 Oct 2022, Last Modified: 14 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
A Unified Framework for Multi-distribution Density Ratio Estimation
Lantao Yu, Yujia Jin, Stefano Ermon
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Acceleration with a Ball Optimization Oracle
Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, YinTat Lee, Aaron Sidford, Kevin Tian
- 24 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Stochastic Bias-Reduced Gradient Methods
Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone

Co-Authors