9 papers
Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference
Baojun Che, Yifan Chen, Daniel Zhengyu Huang +2
Black-box variational inference (BBVI) with Gaussian mixture families offers a flexible approach for approximating complex posterior distributions without requiring gradients of th…
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
José A. Carrillo, Yifan Chen, Daniel Zhengyu Huang +2
The dynamics of probability density functions have been extensively studied in computational science and engineering to understand physical phenomena and facilitate algorithmic des…
In-Hand Manipulation of Articulated Tools with Dexterous Robot Hands with Sim-to-Real Transfer
Soofiyan Atar, Daniel Huang, Florian Richter +1
Reinforcement learning (RL) and sim-to-real transfer have advanced rigid-object manipulation. However, policies remain brittle for articulated mechanisms due to contact-rich dynami…
Improving Monte Carlo Tree Search for Symbolic Regression
Zhengyao Huang, Daniel Zhengyu Huang, Tiannan Xiao +4
Symbolic regression aims to discover concise, interpretable mathematical expressions that satisfy desired objectives, such as fitting data, posing a highly combinatorial optimizati…
Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models
Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin
Diffusion probabilistic models generate samples by learning to reverse a noise-injection process that transforms data into noise. A key development is the reformulation of the reve…
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems
Baojun Che, Yifan Chen, Zhenghao Huan +2
This paper is concerned with the approximation of probability distributions known up to normalization constants, with a focus on Bayesian inference for large-scale inverse problems…