activity
20202026
most citedPredict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints

3 citations · 4 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2026

ICMAPE: In-Context Multiagent Pure Exploration

Xinyi Hu, Alessio Russo, Aldo Pacchiano

In some multi-agent systems, the quantity to be optimized is not an externally specified reward but the information acquired about unknown properties of the environment as done in…

stat.ML2026

Decomposition for Bayesian Networks: Local and Parallel Inference

Pei Heng, Xinyi Hu, Yi Sun

Probabilistic inference in high-dimensional Bayesian networks is difficult because exact manipulation of the joint distribution scales exponentially with network size. We propose a…

cs.LG2025

Meet Me at the Arm: The Cooperative Multi-Armed Bandits Problem with Shareable Arms

Xinyi Hu, Aldo Pacchiano

We study the decentralized multi-player multi-armed bandits (MMAB) problem under a no-sensing setting, where each player receives only their own reward and obtains no information a…

cs.AI2023★ 1 cited

Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee

Consider the setting of constrained optimization, with some parameters unknown at solving time and requiring prediction from relevant features. Predict+Optimize is a recent framewo…

cs.LG2023

Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee

Combining machine learning and constrained optimization, Predict+Optimize tackles optimization problems containing parameters that are unknown at the time of solving. Prior works f…

cs.AI2022★ 3 cited

Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee

Predict+Optimize is a recently proposed framework which combines machine learning and constrained optimization, tackling optimization problems that contain parameters that are unkn…

cs.LG2022

Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee +1

This paper proposes Branch & Learn, a framework for Predict+Optimize to tackle optimization problems containing parameters that are unknown at the time of solving. Given an optimiz…

cs.RO2020

"Drunk Man" Saves Our Lives: Route Planning by a Biased Random Walk Mode

Xinyi Hu, Quchen Miao, Zexuan Zhao

Based on the hurricane striking Puerto Rico in 2017, we developed a transportable disaster response system "DroneGo" featuring a drone fleet capable of delivering the medical packa…