Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Wang Wang

Linfang Wang

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

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

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)Provably Efficient Exploration in Policy Optimization.Q. Cai, Z. Yang, C. Jin, and Z. Wang. CoRR, (2019)Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy.H. Zhong, E. Fang, Z. Yang, and Z. Wang. CoRR, (2020)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)Provably Efficient Safe Exploration via Primal-Dual Policy Optimization.D. Ding, X. Wei, Z. Yang, Z. Wang, and M. Jovanovic. CoRR, (2020)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)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)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)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)

BibSonomy

Disambiguation of "Wang, Zhaoran"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Misspecified nonconvex statistical optimization for sparse phase retrieval.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Paul Wang

Lien Wang

Scheifoo 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

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Misspecified nonconvex statistical optimization for sparse phase retrieval.