Xingyou Song
Title
Cited by
Cited by
Year
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
282019
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
182019
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
162020
Observational overfitting in reinforcement learning
X Song, Y Jiang, S Tu, Y Du, B Neyshabur
arXiv preprint arXiv:1912.02975, 2019
132019
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
102020
Sentiment predictability for stocks
J Prosky, X Song, A Tan, M Zhao
arXiv preprint arXiv:1712.05785, 2017
82017
Yilun Du, and Behnam Neyshabur
X Song, Y Jiang, S Tu
Observational overfitting in reinforcement learning,” in International …, 2020
72020
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
62020
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
42020
UFO-BLO: Unbiased First-Order Bilevel Optimization
V Likhosherstov, X Song, K Choromanski, J Davis, A Weller
arXiv preprint arXiv:2006.03631, 2020
32020
An empirical study on hyperparameters and their interdependence for rl generalization
X Song, Y Du, J Jackson
arXiv preprint arXiv:1906.00431, 2019
32019
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
22020
An Ode to an ODE
K Choromanski, JQ Davis, V Likhosherstov, X Song, JJ Slotine, J Varley, ...
arXiv preprint arXiv:2006.11421, 2020
12020
Reinforcement Learning with Chromatic Networks
X Song, K Choromanski, J Parker-Holder, Y Tang, W Gao, A Pacchiano, ...
arXiv preprint arXiv:1907.06511, 2019
12019
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
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Articles 1–20