| Inertial hegselmann-krause systems B Chazelle, C Wang IEEE Transactions on Automatic Control 62 (8), 3905-3913, 2016 | 72 | 2016 |
| Noisy Hegselmann-Krause Systems: Phase Transition and the 2R-Conjecture C Wang, Q Li, W E, B Chazelle Journal of Statistical Physics 166, 1209-1225, 2017 | 55 | 2017 |
| Numerical algorithms to estimate relaxation parameters and Caputo fractional derivative for a fractional thermal wave model in spherical composite medium B Yu, X Jiang, C Wang Applied Mathematics and Computation 274, 106-118, 2016 | 53 | 2016 |
| Galerkin-Legendre spectral schemes for nonlinear space fractional Schrödinger equation H Zhang, X Jiang, C Wang, W Fan Numerical Algorithms 79, 337-356, 2018 | 47 | 2018 |
| Well-posedness of the limiting equation of a noisy consensus model in opinion dynamics B Chazelle, Q Jiu, Q Li, C Wang Journal of Differential Equations 263 (1), 365-397, 2017 | 43 | 2017 |
| Crank–Nicolson Fourier spectral methods for the space fractional nonlinear Schrödinger equation and its parameter estimation H Zhang, X Jiang, C Wang, S Chen International Journal of Computer Mathematics 96 (2), 238-263, 2019 | 33 | 2019 |
| Efficient ordered combinatorial semi-bandits for whole-page recommendation Y Wang, H Ouyang, C Wang, J Chen, T Asamov, Y Chang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 30 | 2017 |
| The knowledge gradient for sequential decision making with stochastic binary feedbacks Y Wang, C Wang, W Powell International Conference on Machine Learning, 2016, 1138-1147, 2016 | 30 | 2016 |
| Discovery of new metastable patterns in diblock copolymers K Jiang, C Wang, Y Huang, P Zhang Communications in Computational Physics 14 (2), 443-460, 2013 | 27 | 2013 |
| Functional Frank-Wolfe boosting for general loss functions C Wang, Y Wang, W E, R Schapire arXiv preprint arXiv:1510.02558, 2015 | 20 | 2015 |
| Origin of epitaxies between ordered phases of block copolymers C Wang, K Jiang, P Zhang, AC Shi Soft Matter 7 (22), 10552-10555, 2011 | 13 | 2011 |
| Non-stationary a/b tests Y Wu, Z Zheng, G Zhang, Z Zhang, C Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 11 | 2022 |
| Iterated learning in dynamic social networks B Chazelle, C Wang Journal of Machine Learning Research 20 (29), 1-28, 2019 | 11 | 2019 |
| Computing optimal interfacial structure of modulated phases J Xu, C Wang, AC Shi, P Zhang Communications in Computational Physics 14 (2), 443-460, 2016 | 9 | 2016 |
| Optimal learning for sequential decision making for expensive cost functions with stochastic binary feedbacks Y Wang, C Wang, W Powell arXiv preprint arXiv:1709.05216, 2017 | 8 | 2017 |
| Self-sustaining iterated learning B Chazelle, C Wang Innovations in Theoretical Computer Science (2017), 1-17 1, 2016 | 5 | 2016 |
| Nonstationary A/B Tests: Optimal Variance Reduction, Bias Correction, and Valid Inference Y Wu, Z Zheng, G Zhang, Z Zhang, C Wang Management Science, 2024 | 4 | 2024 |
| Outstream video advertisement effectiveness Y Yu, Y Wang, G Zhang, Z Zhang, C Wang, Y Tan Available at SSRN 4098246, 2022 | 4 | 2022 |
| Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond D Jiang, H Luo, C Wang, Y Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 4 | 2021 |
| Gaussian learning-without-recall in a dynamic social network C Wang, B Chazelle 2017 American Control Conference (ACC), 5109-5114, 2017 | 4 | 2017 |
Bernard ChazellePrinceton UniversityVerified email at cs.princeton.edu
