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Misspecified nonconvex statistical optimization for sparse phase retrieval.

Z. Yang, L. Yang, E. Fang, T. Zhao, Z. Wang, and M. Neykov. Math. Program., 176 (1-2): 545-571 (2019)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Xiangdong Wang

Bingjun Wang

Hongyang Wang

Other publications of authors with the same name

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning.B. Lyu, Z. Wang, M. Kolar, and Z. Yang. ICML, volume 162 of Proceedings of Machine Learning Research, page 14601-14638. PMLR, (2022)Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.H. Zhong, W. Xiong, J. Tan, L. Wang, T. Zhang, Z. Wang, and Z. Yang. ICML, volume 162 of Proceedings of Machine Learning Research, page 27117-27142. PMLR, (2022)Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning.S. Qiu, L. Wang, C. Bai, Z. Yang, and Z. Wang. ICML, volume 162 of Proceedings of Machine Learning Research, page 18168-18210. PMLR, (2022)Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems.J. Zhang, Z. Yang, Z. Zhou, and Z. Wang. L4DC, volume 144 of Proceedings of Machine Learning Research, page 597-598. PMLR, (2021)Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation.Y. Wang, C. Huang, Z. Wang, S. Xu, Z. Wang, and Q. Zhu. DAC, page 397-402. IEEE, (2021)Sample Elicitation.J. Wei, Z. Fu, Y. Liu, X. Li, Z. Yang, and Z. Wang. AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2692-2700. PMLR, (2021)Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning.L. Wang, Z. Yang, and Z. Wang. ICML, volume 119 of Proceedings of Machine Learning Research, page 10092-10103. PMLR, (2020)Provably Efficient Exploration in Policy Optimization.Q. Cai, Z. Yang, C. Jin, and Z. Wang. CoRR, (2019)Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach.Y. Li, L. Wang, J. Yang, E. Wang, Z. Wang, T. Zhao, and H. Zha. CoRR, (2021)Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations.Z. Yang, C. Jin, Z. Wang, M. Wang, and M. Jordan. CoRR, (2020)

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Disambiguation of "Wang, Zhaoran"

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Misspecified nonconvex statistical optimization for sparse phase retrieval.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Xiangdong Wang

Bingjun Wang

Hongyang Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Zhaoran"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Misspecified nonconvex statistical optimization for sparse phase retrieval.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Xiangdong Wang

Bingjun Wang

Hongyang Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Misspecified nonconvex statistical optimization for sparse phase retrieval.