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Dongruo Zhou
Dongruo Zhou
Indiana University Bloomington
Verifisert e-postadresse på iu.edu - Startside
Tittel
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Sitert av
År
Gradient descent optimizes over-parameterized deep ReLU networks
D Zou, Y Cao, D Zhou, Q Gu
Machine learning 109, 467-492, 2020
7842020
Neural contextual bandits with UCB-based exploration
D Zhou, L Li, Q Gu
International Conference on Machine Learning, 11492-11502, 2020
3052020
Nearly minimax optimal reinforcement learning for linear mixture markov decision processes
D Zhou, Q Gu, C Szepesvari
Conference on Learning Theory, 4532-4576, 2021
2472021
Stochastic nested variance reduction for nonconvex optimization
D Zhou, P Xu, Q Gu
arXiv preprint arXiv:1806.07811, 2018
235*2018
Closing the generalization gap of adaptive gradient methods in training deep neural networks
J Chen, D Zhou, Y Tang, Z Yang, Y Cao, Q Gu
arXiv preprint arXiv:1806.06763, 2018
2282018
On the convergence of adaptive gradient methods for nonconvex optimization
D Zhou, J Chen, Y Cao, Z Yang, Q Gu
arXiv preprint arXiv:1808.05671, 2018
2122018
Provably efficient reinforcement learning for discounted mdps with feature mapping
D Zhou, J He, Q Gu
International Conference on Machine Learning, 12793-12802, 2021
1492021
Neural thompson sampling
W Zhang, D Zhou, L Li, Q Gu
arXiv preprint arXiv:2010.00827, 2020
1442020
Logarithmic regret for reinforcement learning with linear function approximation
J He, D Zhou, Q Gu
International Conference on Machine Learning, 4171-4180, 2021
1072021
Stochastic variance-reduced cubic regularization methods
D Zhou, P Xu, Q Gu
Journal of Machine Learning Research 20 (134), 1-47, 2019
83*2019
A frank-wolfe framework for efficient and effective adversarial attacks
J Chen, D Zhou, J Yi, Q Gu
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3486-3494, 2020
772020
Almost optimal algorithms for two-player zero-sum linear mixture markov games
Z Chen, D Zhou, Q Gu
International Conference on Algorithmic Learning Theory, 227-261, 2022
63*2022
Nearly minimax optimal reinforcement learning for linear markov decision processes
J He, H Zhao, D Zhou, Q Gu
International Conference on Machine Learning, 12790-12822, 2023
602023
Nearly optimal algorithms for linear contextual bandits with adversarial corruptions
J He, D Zhou, T Zhang, Q Gu
Advances in neural information processing systems 35, 34614-34625, 2022
582022
Nearly minimax optimal reinforcement learning for discounted MDPs
J He, D Zhou, Q Gu
Advances in Neural Information Processing Systems 34, 2021
58*2021
Lower bounds for smooth nonconvex finite-sum optimization
D Zhou, Q Gu
International Conference on Machine Learning, 7574-7583, 2019
542019
Provably efficient reinforcement learning with linear function approximation under adaptivity constraints
T Wang, D Zhou, Q Gu
Advances in Neural Information Processing Systems 34, 13524-13536, 2021
512021
Computationally efficient horizon-free reinforcement learning for linear mixture mdps
D Zhou, Q Gu
Advances in neural information processing systems 35, 36337-36349, 2022
442022
Variance-aware off-policy evaluation with linear function approximation
Y Min, T Wang, D Zhou, Q Gu
Advances in neural information processing systems 34, 7598-7610, 2021
402021
Reward-free model-based reinforcement learning with linear function approximation
W Zhang, D Zhou, Q Gu
Advances in Neural Information Processing Systems 34, 1582-1593, 2021
382021
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Artikler 1–20