Showing 2026Show all
3 papers · 1 filter
cs.LG2026
Cross-Epoch Adaptive Rollout Optimization for RL Post-Training
Yiming Zong, Yige Wang, Jiashuo Jiang
LLM post-training often relies on reinforcement learning methods that sample multiple rollouts per prompt, yet most existing approaches use a fixed rollout budget for every prompt,…
stat.ML2026
Adaptive Inference for Resource-Constrained Dynamic Pricing
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
We study dynamic pricing over a finite selling horizon when limited resource capacity determines revenue and the observations available for inference at a prespecified price. Resou…
math.OC2026
Online Bidding for Contextual First-Price Auctions with Budgets under One-Sided Information Feedback
Zeng Fu, Jiashuo Jiang, Yuan Zhou +1
In this paper, we study learning to bid in repeated first-price auctions with a hard budget constraint. We focus on one-sided information feedback: the highest competing bid is obs…