| Getting aligned on representational alignment I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ... arXiv preprint arXiv:2310.13018, 2023 | 174 | 2023 |
| Solving empirical risk minimization in the current matrix multiplication time YT Lee, Z Song, Q Zhang Conference on Learning Theory, 2140-2157, 2019 | 172 | 2019 |
| Random hypervolume scalarizations for provable multi-objective black box optimization R Zhang, D Golovin International conference on machine learning, 11096-11105, 2020 | 118 | 2020 |
| 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 | 98 | 2022 |
| 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 | 93 | 2019 |
| Syntax-guided synthesis of datalog programs X Si, W Lee, R Zhang, A Albarghouthi, P Koutris, M Naik Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 86 | 2018 |
| Preference learning algorithms do not learn preference rankings A Chen, S Malladi, LH Zhang, X Chen, Q Zhang, R Ranganath, K Cho Advances in Neural Information Processing Systems 37, 101928-101968, 2024 | 42 | 2024 |
| Electron-proton dynamics in deep learning Q Zhang, R Panigrahy, S Sachdeva, A Rahimi arXiv preprint arXiv:1702.00458, 1-31, 2017 | 34 | 2017 |
| Optimal sketching for trace estimation S Jiang, H Pham, D Woodruff, R Zhang Advances in Neural Information Processing Systems 34, 23741-23753, 2021 | 28 | 2021 |
| Regularized weighted low rank approximation F Ban, D Woodruff, R Zhang Advances in neural information processing systems 32, 2019 | 27 | 2019 |
| Convergence results for neural networks via electrodynamics R Panigrahy, S Sachdeva, Q Zhang arXiv preprint arXiv:1702.00458, 2017 | 26 | 2017 |
| 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 | 23 | 2023 |
| 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 | 19 | 2021 |
| The vizier gaussian process bandit algorithm X Song, Q Zhang, C Lee, E Fertig, TK Huang, L Belenki, G Kochanski, ... arXiv preprint arXiv:2408.11527, 2024 | 13 | 2024 |
| Getting aligned on representational alignment. arXiv I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ... | 12 | 2023 |
| 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 | 12 | 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), 8 …, 2018 | 12 | 2018 |
| Getting aligned on representational alignment, November 2023 I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ... URL http://arxiv. org/abs/2310.13018, 0 | 10 | |
| 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), 2, 2019 | 9 | 2019 |
| Predicting from Strings: Language Model Embeddings for Bayesian Optimization T Nguyen, Q Zhang, B Yang, C Lee, J Bornschein, Y Miao, S Perel, ... arXiv preprint arXiv:2410.10190, 2024 | 8 | 2024 |
Xingyou (Richard) SongResearch Scientist, Google DeepMindVerified email at google.com
