Qiang Liu
UT Austin CS · Associate Professor
Research focus: probabilistic inference · Stein variational gradient descent · variational inference · Monte Carlo methods
保护项目第 5 项：构建以 probabilistic inference、Stein variational gradient descent、variational inference、Monte Carlo methods、deep learning 为基点的拟合参数图，并针对 Qiang Liu 进行优化；引用一个可见于实验室主题、校友/就业模式、基准信号、招募/状态警示或当前项目领域的具体研究扩展，并提出一个首学期的具体研究延伸。
Who this advisor fits / 什么情况下适合你
- Applicants should demonstrate inference/optimization depth: SVGD, variational inference, Monte Carlo, graphical models, optimal transport, reinforcement learning or mathematically serious deep learnin
- 申请人应体现推理与优化深度：SVGD、variational inference、蒙特卡洛模拟rl、图模型、最优运输、强化学习或数学上严肃的deep learning。
Public evidence as of 2026-06-10
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