Stein variational gradient descent: A general purpose Bayesian inference algorithm Q Liu, D Wang Advances In Neural Information Processing Systems, 2370-2378, 2016 | 1136 | 2016 |
A kernelized Stein discrepancy for goodness-of-fit tests Q Liu, J Lee, M Jordan International conference on machine learning, 276-284, 2016 | 508 | 2016 |
Variational inference for crowdsourcing Q Liu, J Peng, AT Ihler Advances in Neural Information Processing Systems, 692-700, 2012 | 413 | 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 | 374 | 2018 |
Stein variational gradient descent as gradient flow Q Liu Advances in neural information processing systems, 3115-3123, 2017 | 289 | 2017 |
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 | 285 | 2022 |
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 | 272 | 2012 |
Communication-efficient Sparse Regression JD Lee, Q Liu, Y Sun, JE Taylor Journal of Machine Learning Research 18 (5), 1-30, 2017 | 221 | 2017 |
Conflict-Averse Gradient Descent for Multi-task Learning B Liu, X Liu, X Jin, P Stone, Q Liu arXiv preprint arXiv:2110.14048, 2021 | 220 | 2021 |
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 | 212 | 2019 |
Llm+ p: Empowering large language models with optimal planning proficiency B Liu, Y Jiang, X Zhang, Q Liu, S Zhang, J Biswas, P Stone arXiv preprint arXiv:2304.11477, 2023 | 204 | 2023 |
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning D Wang, Q Liu arXiv preprint arXiv:1611.01722, 2016 | 202 | 2016 |
Stein Variational Policy Gradient Y Liu, P Ramachandran, Q Liu, J Peng arXiv preprint arXiv:1704.02399, 2017 | 157 | 2017 |
Practical human sensing in the light T Li, Q Liu, X Zhou Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | 140 | 2016 |
KeepAugment: A Simple Information-Preserving Data Augmentation Approach C Gong, D Wang, M Li, V Chandra, Q Liu arXiv preprint arXiv:2011.11778, 2020 | 130 | 2020 |
On the Discrimination-Generalization Tradeoff in GANs P Zhang, Q Liu, D Zhou, T Xu, X He arXiv preprint arXiv:1711.02771, 2017 | 130 | 2017 |
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 | 130 | 2014 |
An optimization view on dynamic routing between capsules D Wang, Q Liu | 121 | 2018 |
Improving Neural Language Modeling via Adversarial Training D Wang, C Gong, Q Liu arXiv preprint arXiv:1906.03805, 2019 | 113 | 2019 |
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 | 111 | 2020 |