Xingyou (Richard) Song
Xingyou (Richard) Song
Other namesXingyou Song
Senior Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
Cited by
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
Observational Overfitting in Reinforcement Learning
X Song, Y Jiang, S Tu, Y Du, B Neyshabur
International Conference on Learning Representations (ICLR) 2020, 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
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
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
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
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
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
An Ode to an ODE
K Choromanski, JQ Davis, V Likhosherstov, X Song, JJ Slotine, J Varley, ...
Neural Information Processing Systems (NeurIPS) 2020, 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
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
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
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
An empirical study on hyperparameters and their interdependence for rl generalization
X Song, Y Du, J Jackson
NeurIPS 2019 Workshop, 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
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
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
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
The principle of unchanged optimality in reinforcement learning generalization
A Irpan, X Song
arXiv preprint arXiv:1906.00336, 2019
Unlocking pixels for reinforcement learning via implicit attention
KM Choromanski, D Jain, W Yu, X Song, J Parker-Holder, T Zhang, ...
arXiv preprint arXiv:2102.04353, 2021
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