| Stein variational gradient descent: A general purpose Bayesian inference algorithm Q Liu, D Wang Advances In Neural Information Processing Systems, 2370-2378, 2016 | 963 | 2016 |
| A kernelized Stein discrepancy for goodness-of-fit tests Q Liu, J Lee, M Jordan International conference on machine learning, 276-284, 2016 | 461 | 2016 |
| Variational inference for crowdsourcing Q Liu, J Peng, AT Ihler Advances in Neural Information Processing Systems, 692-700, 2012 | 407 | 2012 |
| Breaking the curse of horizon: Infinite-horizon off-policy estimation Q Liu, L Li, Z Tang, D Zhou arXiv preprint arXiv:1810.12429, 2018 | 324 | 2018 |
| Stein variational gradient descent as gradient flow Q Liu Advances in neural information processing systems, 3115-3123, 2017 | 247 | 2017 |
| Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis M Geyfman, V Kumar, Q Liu, R Ruiz, W Gordon, F Espitia, E Cam, ... Proceedings of the National Academy of Sciences 109 (29), 11758-11763, 2012 | 242 | 2012 |
| Communication-efficient Sparse Regression JD Lee, Q Liu, Y Sun, JE Taylor Journal of Machine Learning Research 18 (5), 1-30, 2017 | 200 | 2017 |
| Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning D Wang, Q Liu arXiv preprint arXiv:1611.01722, 2016 | 194 | 2016 |
| Regularization matters: Generalization and optimization of neural nets vs their induced kernel C Wei, JD Lee, Q Liu, T Ma Advances in Neural Information Processing Systems, 9709-9721, 2019 | 186 | 2019 |
| Stein Variational Policy Gradient Y Liu, P Ramachandran, Q Liu, J Peng arXiv preprint arXiv:1704.02399, 2017 | 143 | 2017 |
| Practical human sensing in the light T Li, Q Liu, X Zhou Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | 131 | 2016 |
| Conflict-Averse Gradient Descent for Multi-task Learning B Liu, X Liu, X Jin, P Stone, Q Liu arXiv preprint arXiv:2110.14048, 2021 | 129 | 2021 |
| Aggregating ordinal labels from crowds by minimax conditional entropy D Zhou, Q Liu, J Platt, C Meek International conference on machine learning, 262-270, 2014 | 125 | 2014 |
| On the Discrimination-Generalization Tradeoff in GANs P Zhang, Q Liu, D Zhou, T Xu, X He arXiv preprint arXiv:1711.02771, 2017 | 120 | 2017 |
| An optimization view on dynamic routing between capsules D Wang, Q Liu | 113 | 2018 |
| Improving Neural Language Modeling via Adversarial Training D Wang, C Gong, Q Liu arXiv preprint arXiv:1906.03805, 2019 | 100 | 2019 |
| Learning scale free networks by reweighted l1 regularization Q Liu, A Ihler Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 99 | 2011 |
| KeepAugment: A Simple Information-Preserving Data Augmentation Approach C Gong, D Wang, M Li, V Chandra, Q Liu arXiv preprint arXiv:2011.11778, 2020 | 96 | 2020 |
| Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow X Liu, C Gong, Q Liu arXiv preprint arXiv:2209.03003, 2022 | 95 | 2022 |
| Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection M Ye, C Gong, L Nie, D Zhou, A Klivans, Q Liu arXiv preprint arXiv:2003.01794, 2020 | 91 | 2020 |
Alexander IhlerUniversity of California, IrvineVerified email at ics.uci.edu
