253 citations · 451 across the 17 of their papers we have counts for
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Continuous-time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations
Ziheng Wang, Justin Sirignano
We develop a new continuous-time stochastic gradient descent method for optimizing over the stationary distribution of stochastic differential equation (SDE) models. The algorithm…
Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning
Ziheng Wang, Justin Sirignano
Actor-critic algorithms are widely used in reinforcement learning, but are challenging to mathematically analyse due to the online arrival of non-i.i.d. data samples. The distribut…
SparseDNN: Fast Sparse Deep Learning Inference on CPUs
Ziheng Wang
The last few years have seen gigantic leaps in algorithms and systems to support efficient deep learning inference. Pruning and quantization algorithms can now consistently compres…
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
Ziheng Wang
In recent years, there has been a flurry of research in deep neural network pruning and compression. Early approaches prune weights individually. However, it is difficult to take a…