| Rethinking Attention with Performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... International Conference on Learning Representations (ICLR) 2021, Oral …, 2021 | 1719 | 2021 |
| Observational Overfitting in Reinforcement Learning X Song, Y Jiang, S Tu, Y Du, B Neyshabur International Conference on Learning Representations (ICLR) 2020, 2020 | 155 | 2020 |
| ES-MAML: Simple Hessian-Free Meta Learning X Song, W Gao, Y Yang, K Choromanski, A Pacchiano, Y Tang International Conference on Learning Representations (ICLR) 2020, 2020 | 138 | 2020 |
| Automated Reinforcement Learning (AutoRL): A Survey and Open Problems J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... Journal of Artificial Intelligence Research 74, 517-568, 2022 | 95 | 2022 |
| Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning X Song, Y Yang, K Choromanski, K Caluwaerts, W Gao, C Finn, J Tan 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 90 | 2020 |
| Gradientless Descent: High-Dimensional Zeroth-Order Optimization D Golovin, J Karro, G Kochanski, C Lee, X Song, Q Zhang International Conference on Learning Representations (ICLR) 2020, Spotlight, 2020 | 69 | 2020 |
| Towards Learning Universal Hyperparameter Optimizers with Transformers Y Chen, X Song, C Lee, Z Wang, Q Zhang, D Dohan, K Kawakami, ... Neural Information Processing Systems (NeurIPS) 2022, 2022 | 56 | 2022 |
| Robotic Table Tennis with Model-Free Reinforcement Learning W Gao, L Graesser, K Choromanski, X Song, N Lazic, P Sanketi, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 39 | 2020 |
| Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization X Song, S Perel, C Lee, G Kochanski, D Golovin First Conference on Automated Machine Learning (Systems Track), 2022 | 31 | 2022 |
| An Ode to an ODE K Choromanski, JQ Davis, V Likhosherstov, X Song, JJ Slotine, J Varley, ... Neural Information Processing Systems (NeurIPS) 2020, 2020 | 30 | 2020 |
| Sub-Linear Memory: How to Make Performers SLiM V Likhosherstov, K Choromanski, J Davis, X Song, A Weller Neural Information Processing Systems (NeurIPS) 2021, 2021 | 20 | 2021 |
| Differentiable architecture search for reinforcement learning Y Miao, X Song, JD Co-Reyes, D Peng, S Yue, E Brevdo, A Faust International Conference on Automated Machine Learning, 20/1-17, 2022 | 13* | 2022 |
| ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces X Song, K Choromanski, J Parker-Holder, Y Tang, D Peng, D Jain, W Gao, ... arXiv preprint arXiv:2101.07415, 2021 | 13* | 2021 |
| An empirical study on hyperparameters and their interdependence for rl generalization X Song, Y Du, J Jackson NeurIPS 2019 Workshop, 2019 | 10 | 2019 |
| Debiasing a First-order Heuristic for Approximate Bi-level Optimization V Likhosherstov, X Song, K Choromanski, J Davis, A Weller Interntional Conference on Machine Learning (ICML) 2021, 2021 | 9* | 2021 |
| Discovering Adaptable Symbolic Algorithms from Scratch S Kelly, DS Park, X Song, M McIntire, P Nashikkar, R Guha, W Banzhaf, ... International Conference on Intelligent Robots and Systems (IROS), Best …, 2023 | 8 | 2023 |
| Stochastic flows and geometric optimization on the orthogonal group K Choromanski, D Cheikhi, J Davis, V Likhosherstov, A Nazaret, ... International Conference on Machine Learning, 1918-1928, 2020 | 8 | 2020 |
| OmniPred: Language Models as Universal Regressors X Song, O Li, C Lee, B Yang, D Peng, S Perel, Y Chen arXiv preprint arXiv:2402.14547, 2024 | 5 | 2024 |
| Position: Leverage Foundational Models for Black-Box Optimization X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen International Conference on Machine Learning (ICML), 2024 | 5* | 2024 |
| The principle of unchanged optimality in reinforcement learning generalization A Irpan, X Song arXiv preprint arXiv:1906.00336, 2019 | 4 | 2019 |
Krzysztof ChoromanskiGoogle DeepMind Robotics & Columbia UniversityEmail verificata su columbia.edu
