עקוב אחר
Qinqing Zheng
Qinqing Zheng
Meta
כתובת אימייל מאומתת בדומיין meta.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Online decision transformer‏
Q Zheng, A Zhang, A Grover‏
International Conference on Machine Learning 162, 27042--27059, 2022‏
2422022
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
2212015
Convergence analysis for rectangular matrix completion using Burer-Monteiro factorization and gradient descent‏
Q Zheng, J Lafferty‏
arXiv preprint arXiv:1605.07051, 2016‏
1832016
Federated f-differential privacy‏
Q Zheng, S Chen, Q Long, W Su‏
(AISTATS 2021) International conference on artificial intelligence and …, 2021‏
662021
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning‏
H Sikchi, Q Zheng, A Zhang, S Niekum‏
ICLR 2024, 2023‏
30*2023
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
23*2023
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping‏
L Lehnert, S Sukhbaatar, DJ Su, Q Zheng, P Mcvay, M Rabbat, Y Tian‏
COLM 2024, 2024‏
222024
Semi-supervised offline reinforcement learning with action-free trajectories‏
Q Zheng, M Henaff, B Amos, A Grover‏
(ICML 2023) International Conference on Machine Learning, 42339-42362, 2023‏
202023
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion‏
Q Zheng, J Dong, Q Long, WJ Su‏
(ICML 2020) International Conference on Machine Learning, 11420-11435, 2020‏
202020
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
182023
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
Diffusion world model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning‏
Z Ding, A Zhang, Y Tian, Q Zheng‏
arXiv preprint arXiv:2402.03570, 2024‏
142024
Latent state marginalization as a low-cost approach for improving exploration‏
D Zhang, A Courville, Y Bengio, Q Zheng, A Zhang, RTQ Chen‏
ICLR 2023, 2022‏
122022
Near-Optimal Confidence Sequences for Bounded Random Variables‏
AK Kuchibhotla, Q Zheng‏
ICML 2021, 2021‏
102021
Reliable conditioning of behavioral cloning for offline reinforcement learning‏
T Nguyen, Q Zheng, A Grover‏
arXiv preprint arXiv:2210.05158, 2022‏
9*2022
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
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
22022
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback‏
Q Zheng, M Henaff, A Zhang, A Grover, B Amos‏
arXiv preprint arXiv:2410.23022, 2024‏
2024
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces‏
DJ Su, S Sukhbaatar, M Rabbat, Y Tian, Q Zheng‏
arXiv preprint arXiv:2410.09918, 2024‏
2024
Symmetric Factorization for Nonconvex Optimization‏
Q Zheng‏
2017
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מאמרים 1–20