| Online decision transformer Q Zheng, A Zhang, A Grover International Conference on Machine Learning 162, 27042--27059, 2022 | 245 | 2022 |
| 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 | 221 | 2015 |
| Convergence analysis for rectangular matrix completion using Burer-Monteiro factorization and gradient descent Q Zheng, J Lafferty arXiv preprint arXiv:1605.07051, 2016 | 184 | 2016 |
| Federated f-differential privacy Q Zheng, S Chen, Q Long, W Su (AISTATS 2021) International conference on artificial intelligence and …, 2021 | 66 | 2021 |
| Dual RL: Unification and New Methods for Reinforcement and Imitation Learning H Sikchi, Q Zheng, A Zhang, S Niekum ICLR 2024, 2023 | 30* | 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 | 24 | 2024 |
| 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 |
| 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 | 20 | 2023 |
| 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 | 20 | 2020 |
| 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 | 18 | 2023 |
| Interpolating convex and non-convex tensor decompositions via the subspace norm Q Zheng, R Tomioka Advances in Neural Information Processing Systems, 3106-3113, 2015 | 16 | 2015 |
| 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 | 14 | 2024 |
| 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 | 12 | 2022 |
| Near-Optimal Confidence Sequences for Bounded Random Variables AK Kuchibhotla, Q Zheng ICML 2021, 2021 | 10 | 2021 |
| 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 | 7 | 2020 |
| 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 | 2 | 2022 |
| 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 | 1 | 2024 |
| 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 |
| Symmetric Factorization for Nonconvex Optimization Q Zheng | | 2017 |
Aditya GroverAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
