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Qinqing Zheng
Qinqing Zheng
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Title
Cited by
Cited by
Year
A convergent gradient descent algorithm for rank minimization and semidefinite programming from random linear measurements
Q Zheng, J Lafferty
Advances in Neural Information Processing Systems, 109--117, 2015
2112015
Convergence analysis for rectangular matrix completion using Burer-Monteiro factorization and gradient descent
Q Zheng, J Lafferty
arXiv preprint arXiv:1605.07051, 2016
1682016
Online decision transformer
Q Zheng, A Zhang, A Grover
International Conference on Machine Learning 162, 27042--27059, 2022
1632022
Federated f-differential privacy
Q Zheng, S Chen, Q Long, W Su
International conference on artificial intelligence and statistics, 2251-2259, 2021
452021
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
S Chen, Q Zheng, Q Long, WJ Su
Journal of Machine Learning Research 24 (262), 1-59, 2023
22*2023
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Q Zheng, J Dong, Q Long, WJ Su
International Conference on Machine Learning, 11420-11435, 2020
172020
Interpolating convex and non-convex tensor decompositions via the subspace norm
Q Zheng, R Tomioka
Advances in Neural Information Processing Systems, 3106-3113, 2015
162015
Semi-supervised offline reinforcement learning with action-free trajectories
Q Zheng, M Henaff, B Amos, A Grover
International conference on machine learning, 42339-42362, 2023
142023
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
H Sikchi, Q Zheng, A Zhang, S Niekum
arXiv preprint arXiv: 2302.08560, 2023
10*2023
Reliable conditioning of behavioral cloning for offline reinforcement learning
T Nguyen, Q Zheng, A Grover
arXiv preprint arXiv:2210.05158, 2022
9*2022
Latent state marginalization as a low-cost approach for improving exploration
D Zhang, A Courville, Y Bengio, Q Zheng, A Zhang, RTQ Chen
arXiv preprint arXiv:2210.00999, 2022
82022
Near-Optimal Confidence Sequences for Bounded Random Variables
AK Kuchibhotla, Q Zheng
International Conference on Machine Learning, 2021
82021
Shadowsync: Performing synchronization in the background for highly scalable distributed training
Q Zheng, BY Su, J Yang, A Azzolini, Q Wu, O Jin, S Karandikar, ...
arXiv preprint arXiv:2003.03477, 2020
72020
Guided flows for generative modeling and decision making
Q Zheng, M Le, N Shaul, Y Lipman, A Grover, RTQ Chen
arXiv preprint arXiv:2311.13443, 2023
42023
Diffusion World Model
Z Ding, A Zhang, Y Tian, Q Zheng
arXiv preprint arXiv:2402.03570, 2024
22024
Performing Synchronization in the Background for Highly Scalable Distributed Training
Q Zheng, SU Bor-Yiing, J Yang, AG Azzolini, Q Wu, O Jin
US Patent App. 16/989,131, 2022
2022
Symmetric Factorization for Nonconvex Optimization
Q Zheng
2017
First Order Methods for Nonconvex Optimization via Symmetric Factorization
Q Zheng
The University of Chicago, 2017
2017
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Articles 1–18