| Es-maml: Simple hessian-free meta learning X Song, W Gao, Y Yang, K Choromanski, A Pacchiano, Y Tang arXiv preprint arXiv:1910.01215, 2019 | 28 | 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 | 18 | 2019 |
| Rethinking attention with performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... arXiv preprint arXiv:2009.14794, 2020 | 16 | 2020 |
| Observational overfitting in reinforcement learning X Song, Y Jiang, S Tu, Y Du, B Neyshabur arXiv preprint arXiv:1912.02975, 2019 | 13 | 2019 |
| Rapidly adaptable legged robots via evolutionary meta-learning X Song, Y Yang, K Choromanski, K Caluwaerts, W Gao, C Finn, J Tan arXiv preprint arXiv:2003.01239, 2020 | 10 | 2020 |
| Sentiment predictability for stocks J Prosky, X Song, A Tan, M Zhao arXiv preprint arXiv:1712.05785, 2017 | 8 | 2017 |
| Yilun Du, and Behnam Neyshabur X Song, Y Jiang, S Tu Observational overfitting in reinforcement learning,” in International …, 2020 | 7 | 2020 |
| Masked language modeling for proteins via linearly scalable long-context transformers K Choromanski, V Likhosherstov, D Dohan, X Song, J Davis, T Sarlos, ... arXiv preprint arXiv:2006.03555, 2020 | 6 | 2020 |
| Robotic table tennis with model-free reinforcement learning W Gao, L Graesser, K Choromanski, X Song, N Lazic, P Sanketi, ... arXiv preprint arXiv:2003.14398, 2020 | 4 | 2020 |
| UFO-BLO: Unbiased First-Order Bilevel Optimization V Likhosherstov, X Song, K Choromanski, J Davis, A Weller arXiv preprint arXiv:2006.03631, 2020 | 3 | 2020 |
| An empirical study on hyperparameters and their interdependence for rl generalization X Song, Y Du, J Jackson arXiv preprint arXiv:1906.00431, 2019 | 3 | 2019 |
| 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 | 2 | 2020 |
| An Ode to an ODE K Choromanski, JQ Davis, V Likhosherstov, X Song, JJ Slotine, J Varley, ... arXiv preprint arXiv:2006.11421, 2020 | 1 | 2020 |
| Reinforcement Learning with Chromatic Networks X Song, K Choromanski, J Parker-Holder, Y Tang, W Gao, A Pacchiano, ... arXiv preprint arXiv:1907.06511, 2019 | 1 | 2019 |
| Unlocking Pixels for Reinforcement Learning via Implicit Attention K Choromanski, D Jain, J Parker-Holder, X Song, V Likhosherstov, ... arXiv preprint arXiv:2102.04353, 2021 | | 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, ... arXiv preprint arXiv:2101.07415, 2021 | | 2021 |
| Sub-Linear Memory: How to Make Performers SLiM V Likhosherstov, K Choromanski, J Davis, X Song, A Weller arXiv preprint arXiv:2012.11346, 2020 | | 2020 |
| Observational Overfitting in Reinforcement Learning B Neyshabur, S Tu, X Song, Y Jiang, Y Du | | 2020 |
| Reinforcement Learning with Chromatic Networks for Compact Architecture Search X Song, K Choromanski, J Parker-Holder, Y Tang, W Gao, A Pacchiano, ... arXiv preprint arXiv:1907.06511, 2019 | | 2019 |
| The Principle of Unchanged Optimality in Reinforcement Learning Generalization A Irpan, X Song arXiv preprint arXiv:1906.00336, 2019 | | 2019 |
Krzysztof ChoromanskiGoogle Brain Robotics New York & Columbia UniversityVerified email at columbia.edu
