ES-MAML: Simple hessian-free meta learning X Song, W Gao, Y Yang, K Choromanski, A Pacchiano, Y Tang ICLR 2020, 2019 | 136 | 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 | 90 | 2020 |
ADMM for multiaffine constrained optimization W Gao, D Goldfarb, FE Curtis Optimization Methods and Software 35 (2), 257-303, 2020 | 52 | 2020 |
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 | 47 | 2019 |
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 | 36 | 2020 |
Stochastic adaptive quasi-Newton methods for minimizing expected values C Zhou, W Gao, D Goldfarb International Conference on Machine Learning, 4150-4159, 2017 | 30 | 2017 |
Block BFGS methods W Gao, D Goldfarb SIAM Journal on Optimization 28 (2), 1205-1231, 2018 | 23 | 2018 |
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 | 14 | 2019 |
Reinforcement Learning with Chromatic Networks X Song, K Choromanski, J Parker-Holder, Y Tang, W Gao, A Pacchiano, ... arXiv preprint arXiv:1907.06511, 2019 | 4 | 2019 |
On the Minimal Edge Density of -free 6-critical Graphs W Gao, L Postle arXiv preprint arXiv:1811.02940, 2018 | 2 | 2018 |
Highly symmetric matroids, the strong Rayleigh property, and sums of squares W Gao, DG Wagner arXiv preprint arXiv:1411.7735, 2014 | 1 | 2014 |