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Wenbo Gao
Wenbo Gao
Columbia University
Dirección de correo verificada de columbia.edu - Página principal
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ES-MAML: Simple hessian-free meta learning
X Song, W Gao, Y Yang, K Choromanski, A Pacchiano, Y Tang
ICLR 2020, 2019
1262019
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
782020
ADMM for multiaffine constrained optimization
W Gao, D Goldfarb, FE Curtis
Optimization Methods and Software 35 (2), 257-303, 2020
482020
Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions
W Gao, D Goldfarb
Optimization Methods and Software 34 (1), 194-217, 2019
452019
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
312020
Stochastic adaptive quasi-Newton methods for minimizing expected values
C Zhou, W Gao, D Goldfarb
International Conference on Machine Learning, 4150-4159, 2017
292017
Block BFGS methods
W Gao, D Goldfarb
SIAM Journal on Optimization 28 (2), 1205-1231, 2018
252018
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Y Teng, W Gao, F Chalus, AE Choromanska, D Goldfarb, A Weller
Advances in Neural Information Processing Systems, 9824-9834, 2019
132019
Reinforcement Learning with Chromatic Networks
X Song, K Choromanski, J Parker-Holder, Y Tang, W Gao, A Pacchiano, ...
arXiv preprint arXiv:1907.06511, 2019
42019
On the Minimal Edge Density of -free 6-critical Graphs
W Gao, L Postle
arXiv preprint arXiv:1811.02940, 2018
22018
Highly symmetric matroids, the strong Rayleigh property, and sums of squares
W Gao, DG Wagner
arXiv preprint arXiv:1411.7735, 2014
12014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–11