| Solving empirical risk minimization in the current matrix multiplication time YT Lee, Z Song, Q Zhang Conference on Learning Theory, 2140-2157, 2019 | 128 | 2019 |
| Gradientless descent: High-dimensional zeroth-order optimization D Golovin, J Karro, G Kochanski, C Lee, X Song, Q Zhang arXiv preprint arXiv:1911.06317, 2019 | 67 | 2019 |
| Random hypervolume scalarizations for provable multi-objective black box optimization R Zhang, D Golovin International conference on machine learning, 11096-11105, 2020 | 57 | 2020 |
| Electron-proton dynamics in deep learning Q Zhang, R Panigrahy, S Sachdeva, A Rahimi arXiv preprint arXiv:1702.00458, 1-31, 2017 | 33 | 2017 |
| Towards learning universal hyperparameter optimizers with transformers Y Chen, X Song, C Lee, Z Wang, R Zhang, D Dohan, K Kawakami, ... Advances in Neural Information Processing Systems 35, 32053-32068, 2022 | 28 | 2022 |
| Convergence results for neural networks via electrodynamics R Panigrahy, S Sachdeva, Q Zhang arXiv preprint arXiv:1702.00458, 2017 | 24 | 2017 |
| Regularized weighted low rank approximation F Ban, D Woodruff, R Zhang Advances in neural information processing systems 32, 2019 | 20 | 2019 |
| Optimal sketching for trace estimation S Jiang, H Pham, D Woodruff, R Zhang Advances in Neural Information Processing Systems 34, 23741-23753, 2021 | 17 | 2021 |
| One network fits all? modular versus monolithic task formulations in neural networks A Agarwala, A Das, B Juba, R Panigrahy, V Sharan, X Wang, Q Zhang arXiv preprint arXiv:2103.15261, 2021 | 13 | 2021 |
| ES-ENAS: combining evolution strategies with neural architecture search at no extra cost for reinforcement learning X Song, K Choromanski, J Parker-Holder, Y Tang, D Peng, D Jain, W Gao, ... CoRR, abs/2101.07415, 2021 | 9 | 2021 |
| Optimal sequence length requirements for phylogenetic tree reconstruction with indels A Ganesh, Q Zhang Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019 | 9 | 2019 |
| New absolute fast converging phylogeny estimation methods with improved scalability and accuracy QR Zhang, S Rao, T Warnow 18th International Workshop on Algorithms in Bioinformatics (WABI 2018), 2018 | 9 | 2018 |
| Constrained incremental tree building: new absolute fast converging phylogeny estimation methods with improved scalability and accuracy Q Zhang, S Rao, T Warnow Algorithms for Molecular Biology 14, 1-12, 2019 | 8 | 2019 |
| Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation T Le, A Sy, EK Molloy, Q Zhang, S Rao, T Warnow IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (1), 2-15, 2020 | 7 | 2020 |
| Using INC Within Divide-and-Conquer Phylogeny Estimation T Le, A Sy, EK Molloy, Q Zhang, S Rao, T Warnow International Conference on Algorithms for Computational Biology, 167-178, 2019 | 7 | 2019 |
| Span recovery for deep neural networks with applications to input obfuscation R Jayaram, DP Woodruff, Q Zhang arXiv preprint arXiv:2002.08202, 2020 | 5 | 2020 |
| Robust algorithms on adaptive inputs from bounded adversaries Y Cherapanamjeri, S Silwal, DP Woodruff, F Zhang, Q Zhang, S Zhou arXiv preprint arXiv:2304.07413, 2023 | 4 | 2023 |
| Optimal query complexities for dynamic trace estimation D Woodruff, F Zhang, R Zhang Advances in Neural Information Processing Systems 35, 35049-35060, 2022 | 3 | 2022 |
| Leveraging initial hints for free in stochastic linear bandits A Cutkosky, C Dann, A Das, Q Zhang International Conference on Algorithmic Learning Theory, 282-318, 2022 | 1 | 2022 |
| Learning the gravitational force law and other analytic functions A Agarwala, A Das, R Panigrahy, Q Zhang arXiv preprint arXiv:2005.07724, 2020 | 1 | 2020 |
