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Yifei Wang 汪祎非
Yifei Wang 汪祎非
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Title
Cited by
Cited by
Year
Accelerated Information Gradient flow
Y Wang, W Li
arXiv preprint arXiv:1909.02102, 2019
442019
Information Newton's flow: second-order optimization method in probability space
Y Wang, W Li
arXiv preprint arXiv:2001.04341, 2020
272020
Projected Wasserstein gradient descent for high-dimensional Bayesian inference
Y Wang, P Chen, W Li
SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1513-1532, 2022
182022
Adaptive newton sketch: Linear-time optimization with quadratic convergence and effective hessian dimensionality
J Lacotte, Y Wang, M Pilanci
International Conference on Machine Learning, 5926-5936, 2021
142021
Parallel deep neural networks have zero duality gap
Y Wang, T Ergen, M Pilanci
arXiv preprint arXiv:2110.06482, 2021
112021
The convex geometry of backpropagation: Neural network gradient flows converge to extreme points of the dual convex program
Y Wang, M Pilanci
arXiv preprint arXiv:2110.06488, 2021
102021
A decomposition augmented lagrangian method for low-rank semidefinite programming
Y Wang, K Deng, H Liu, Z Wen
SIAM Journal on Optimization 33 (3), 1361-1390, 2023
92023
Optimal neural network approximation of wasserstein gradient direction via convex optimization
Y Wang, P Chen, M Pilanci, W Li
arXiv preprint arXiv:2205.13098, 2022
72022
A stochastic Stein variational Newton method
A Leviyev, J Chen, Y Wang, O Ghattas, A Zimmerman
arXiv preprint arXiv:2204.09039, 2022
52022
The hidden convex optimization landscape of two-layer relu neural networks: an exact characterization of the optimal solutions
Y Wang, J Lacotte, M Pilanci
arXiv preprint arXiv:2006.05900, 2020
52020
Overparameterized relu neural networks learn the simplest models: Neural isometry and exact recovery
Y Wang, Y Hua, E Candés, M Pilanci
arXiv preprint arXiv:2209.15265, 2022
32022
The search direction correction makes first-order methods faster
Y Wang, Z Jia, Z Wen
arXiv preprint arXiv:1905.06507, 2019
32019
Search direction correction with normalized gradient makes first-order methods faster
Y Wang, Z Jia, Z Wen
SIAM Journal on Scientific Computing 43 (5), A3184-A3211, 2021
22021
Polynomial-Time Solutions for ReLU Network Training: A Complexity Classification via Max-Cut and Zonotopes
Y Wang, M Pilanci
arXiv preprint arXiv:2311.10972, 2023
12023
Sketching the Krylov subspace: faster computation of the entire ridge regularization path
Y Wang, M Pilanci
The Journal of Supercomputing 79 (16), 18748-18776, 2023
2023
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
Y Wang, TZ Baharav, Y Han, J Jiao, D Tse
arXiv preprint arXiv:2211.01743, 2022
2022
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Articles 1–16