collaborators

5 papers

cs.LG2025

Sig-DEG for Distillation: Making Diffusion Models Faster and Lighter

Lei Jiang, Wen Ge, Niels Cariou-Kotlarek +6

Diffusion models have achieved state-of-the-art results in generative modelling but remain computationally intensive at inference time, often requiring thousands of discretization…

math.OC2024

Deciding Bank Interest Rates -- A Major-Minor Impulse Control Mean-Field Game Perspective

Fan Chen, Nicholas Martin, Po-Yu Chen +3

Deciding bank interest rates has been a long-standing challenge in finance. It is crucial to ensure that the selected rates balance market share and profitability. However, traditi…

cs.LG2024

A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence

Roberto Pagliari, Peter Hill, Po-Yu Chen +3

In financial applications, regulations or best practices often lead to specific requirements in machine learning relating to four key pillars: fairness, privacy, interpretability a…

cs.CV2024

Differentially Private Fine-Tuning of Diffusion Models

Yu-Lin Tsai, Yizhe Li, Zekai Chen +4

The integration of Differential Privacy (DP) with diffusion models (DMs) presents a promising yet challenging frontier, particularly due to the substantial memorization capabilitie…

cs.CL2024

Online Personalizing White-box LLMs Generation with Neural Bandits

Zekai Chen, Weeden Daniel, Po-yu Chen +1

The advent of personalized content generation by LLMs presents a novel challenge: how to efficiently adapt text to meet individual preferences without the unsustainable demand of c…