4 papers
Weighted Temporal Decay Loss for Learning Wearable PPG Data with Sparse Clinical Labels
Yunsung Chung, Keum San Chun, Migyeong Gwak +6
Advances in wearable computing and AI have increased interest in leveraging PPG for health monitoring over the past decade. One of the biggest challenges in developing health algor…
Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks
Luwei Sun, Dongrui Shen, Feng Chuanwen +3
Motivated by challenges in conditional generative modeling, where the target conditional density takes the form of a ratio f1 over f2, this paper develops a theoretical framework f…
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
Luwei Sun, Dongrui Shen, Han Feng
In this paper, we focus on analyzing the excess risk of the unpaired data generation model, called CycleGAN. Unlike classical GANs, CycleGAN not only transforms data between two un…
Identifying Best Fair Intervention
Ruijiang Gao, Han Feng
We study the problem of best arm identification with a fairness constraint in a given causal model. The goal is to find a soft intervention on a given node to maximize the outcome…