default search action
Yiheng Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c20]Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Policy Optimization in Unknown Nonlinear Systems. COLT 2024: 3475-3522 - [c19]Yihan Hu
, Yiheng Lin
Diffusion for Natural Image Matting. ECCV (57) 2024: 181-199 - [c18]Xi Jiang
Sailing Speed Optimization for Near-Sea Shipping Services Considering Container Routing. ICCBD 2024: 616-620 - [c17]Tianyu Chen
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM 2024: 613-644 - [i15]Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman:
Approximate Global Convergence of Independent Learning in Multi-Agent Systems. CoRR abs/2405.19811 (2024) - 2023
- [j4]Yizhou Zhang
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 13:1-13:51 (2023) - [j3]Sungho Shin
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61(3): 1113-1135 (2023) - [c16]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. L4DC 2023: 1138-1151 - [c15]Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman:
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS 2023 - [c14]Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman:
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS 2023 - [c13]Yizhou Zhang
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) 2023: 83-84 - [c12]Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman:
Convergence rates for localized actor-critic in networked Markov potential games. UAI 2023: 2563-2573 - [i14]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. CoRR abs/2301.08445 (2023) - [i13]Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman:
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games. CoRR abs/2303.04865 (2023) - [i12]Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman:
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR abs/2307.10524 (2023) - [i11]Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi
Diffusion for Natural Image Matting. CoRR abs/2312.05915 (2023) - 2022
- [j2]Weici Pan, Guanya Shi, Yiheng Lin
Online Optimization with Feedback Delay and Nonlinear Switching Cost. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 17:1-17:34 (2022) - [c11]Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman:
Decentralized Online Convex Optimization in Networked Systems. ICML 2022: 13356-13393 - [c10]Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman:
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS 2022 - [c9]Weici Pan, Guanya Shi, Yiheng Lin
Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) 2022: 81-82 - [i10]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR abs/2204.05551 (2022) - [i9]Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR abs/2206.01341 (2022) - [i8]Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman:
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR abs/2211.17116 (2022) - 2021
- [c8]Yiheng Lin
Online Optimization with Predictions and Non-convex Losses. CISS 2021: 1 - [c7]Zhengyang Guo, Wenqi Yang, Tingying Yan, Yiheng Lin, Jiawei Wang:
Analysis and prediction of COVID-19 trends in the United States. ISAIMS 2021: 454-459 - [c6]Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman:
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS 2021: 5174-5185 - [c5]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS 2021: 7825-7837 - [i7]Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman:
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR abs/2106.10497 (2021) - [i6]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. CoRR abs/2111.00095 (2021) - 2020
- [j1]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 18:1-18:32 (2020) - [c4]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS 2020 - [c3]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c2]Yiheng Lin
Online Optimization with Predictions and Non-convex Losses. SIGMETRICS (Abstracts) 2020: 9-10 - [i5]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i4]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR abs/2006.06555 (2020) - [i3]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR abs/2006.06626 (2020)
2010 – 2019
- 2019
- [c1]Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. NeurIPS 2019: 1873-1883 - [i2]Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. CoRR abs/1905.12776 (2019) - [i1]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. CoRR abs/1911.03827 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: