253 citations · 451 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
Compiling Halide Programs to Push-Memory Accelerators
Qiaoyi Liu, Dillon Huff, Jeff Setter +8
Image processing and machine learning applications benefit tremendously from hardware acceleration, but existing compilers target either FPGAs, which sacrifice power and performanc…
Investigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective
Jian-Guo Liu, Ziheng Wang, Yantong Xie +2
In the mean field integrate-and-fire model, the dynamics of a typical neuron within a large network is modeled as a diffusion-jump stochastic process whose jump takes place once th…
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…