1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2026
Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows
Thejani Gamage, Hyemin Gu, Zhizhen Zhang +3
We propose CVaR-penalized Generative Particle Algorithm (CVaR-GPA), a robust, tail-agnostic algorithm for fine-tuning generative models to learn heavy-tailed distributions and capt…
math.OC2026★ 1 cited
Reinforcement Learning for optimal dividend problem under diffusion model
Lihua Bai, Thejani Gamage, Jin Ma +1
In this paper, we study the optimal dividend problem under the continuous time diffusion model with the bounded dividend rate from the Reinforcement Learning (RL) perspective. Unli…