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ORCIDVincent Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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
Other persons with the same name
- Vincent Liu 0001
![[0000-0001-7683-208X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7683-208X")
— University of Pennsylvania, Philadelphia, PA, USA (and 1 more)
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2020 – today
- 2023
[i11]Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR abs/2302.11665 (2023)- [i10]Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White:
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. CoRR abs/2302.11725 (2023) - 2022
- [c5]Vincent Liu, Chris Manzie, Peter M. Dower:
Constraint Handling of an Airbreathing Hypersonic Vehicle via Predictive Reference Management. ACC 2022: 3991-3996 - [i9]Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White:
Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR abs/2203.15955 (2022) - [i8]Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White:
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR abs/2205.08716 (2022) - 2021
- [c4]Vincent Liu, Margreta Kuijper:
Linear System Security: Detection and Correction of Adversarial Attacks on a Quanser AERO System. ECC 2021: 958-963 - [c3]Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning. NeurIPS Datasets and Benchmarks 2021 - [i7]Vincent Liu, James Wright, Martha White:
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR abs/2111.08066 (2021) - [i6]Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning. CoRR abs/2111.12062 (2021) - 2020
- [c2]Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White:
Training Recurrent Neural Networks Online by Learning Explicit State Variables. ICLR 2020 - [i5]Vincent Liu, Adam White, Hengshuai Yao, Martha White:
Towards a practical measure of interference for reinforcement learning. CoRR abs/2007.03807 (2020)
2010 – 2019
- 2019
- [j2]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2: 49 (2019) - [j1]Sonja Nowotschin, Manu Setty, Ying-Yi Kuo, Vincent Liu, Vidur Garg, Roshan Sharma, Claire S. Simon, Nestor Saiz, Rui Gardner, Stéphane C. Boutet, Deanna M. Church, Pamela A. Hoodless, Anna-Katerina Hadjantonakis, Dana Pe'er:
The emergent landscape of the mouse gut endoderm at single-cell resolution. Nat. 569(7756): 361-367 (2019) - [c1]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI 2019: 4384-4391 - [i4]Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji:
Recurrent Control Nets for Deep Reinforcement Learning. CoRR abs/1901.01994 (2019) - [i3]Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu:
Incrementally Learning Functions of the Return. CoRR abs/1907.04651 (2019) - 2018
- [i2]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR abs/1810.08765 (2018) - [i1]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR abs/1811.06626 (2018) - 2010
- [e1]Marzia Zaman, Yawei Liang, Sohail M. Siddiqui, Tim Wang, Vincent Liu, Ceecee Lu:
E-business Technology and Strategy - International Conference, CETS 2010, Ottawa, Canada, September 29-30, 2010. Proceedings. Communications in Computer and Information Science 113, Springer 2010, ISBN 978-3-642-16396-8 [contents]
Coauthor Index
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