# debatenight: The role and influence of socialbots on twitter during the 1st 2016 us presidential debate MA Rizoiu, T Graham, R Zhang, Y Zhang, R Ackland, L Xie Proceedings of the international AAAI conference on web and social media 12 (1), 2018 | 92 | 2018 |
Efficient Non-parametric Bayesian Hawkes Processes R Zhang, C Walder, MA Rizoiu, L Xie 2019 International Joint Conference on Artificial Intelligence, 2018 | 40 | 2018 |
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process R Zhang, C Walder, MA Rizoiu The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 38 | 2020 |
Maximum moment restriction for instrumental variable regression R Zhang, M Imaizumi, B Schölkopf, K Muandet arXiv preprint arXiv:2010.07684, 2020 | 31 | 2020 |
Instrumental Variable Regression via Kernel Maximum Moment Loss R Zhang, M Imaizumi, B Schölkopf, K Muandet Journal of Causal Inference 11 (1), 20220073, 2023 | 11 | 2023 |
debatenight: The role and influence of socialbots on twitter during the 1st us presidential debate MA Rizoiu, T Graham, R Zhang, Y Zhang, R Ackland, L Xie arXiv preprint arXiv:1802.09808, 2018 | 9 | 2018 |
Quantile Propagation for Wasserstein-Approximate Gaussian Processes R Zhang, CJ Walder, EV Bonilla, MA Rizoiu, L Xie NeurIPS 2020, 2020 | 3 | 2020 |
Instrument Space Selection for Kernel Maximum Moment Restriction R Zhang, K Muandet, B Schölkopf, M Imaizumi arXiv preprint arXiv: https://arxiv.org/abs/2106.03340, 2021 | 2 | 2021 |
Instrumental Variable Regression via Kernel Maximum Moment Loss R Zhang, M Imaizumi, B Schölkopf, K Muandet arXiv preprint arXiv:2010.07684, 2023 | | 2023 |
Approximate Inference for Non-Parametric Bayesian Hawkes Processes and Beyond R Zhang PQDT-Global, 2022 | | 2022 |