Thu Dinh

activity

20182021

most citedConvergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via

ℓ_{1}, ℓ_{0}

, and transformed-

ℓ_{1}

Penalties

5 citations · 10 across the 6 of their papers we have counts for

collaborators

Showing 2018Show all

2 papers · 1 filter

math.OC2018★ 5 cited

Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via $ℓ_{1}, ℓ_{0}$ , and transformed- $ℓ_{1}$ Penalties

Thu Dinh, Jack Xin

Sparsification of neural networks is one of the effective complexity reduction methods to improve efficiency and generalizability. We consider the problem of learning a one hidden…

math.PR2018

Enhanced Diffusivity in Perturbed Senile Reinforced Random Walk Models

Thu Dinh, Jack Xin

We consider diffusivity of random walks with transition probabilities depending on the number of consecutive traversals of the last traversed edge, the so called senile reinforced…

Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ1​,ℓ0​, and transformed-ℓ1​ Penalties

Enhanced Diffusivity in Perturbed Senile Reinforced Random Walk Models

Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via $ℓ_{1}, ℓ_{0}$ , and transformed- $ℓ_{1}$ Penalties