Learning-augmented Algorithms: Theory and Applications (LATA)

Poster Break

Poster Session & Coffee Break

Poster Authors

at  10:30 ! Livein  Main Workshopfor  60min

Learning-Augmented Algorithms for the Bahncard Problem

Hailiang Zhao (Zhejiang University, Xueyan Tang (Nanyang Technological University), Peng Chen (Zhejiang University), Shuiguang Deng (Zhejiang University)

 

Value-Oblivious Secretaries with Advice

Hasti NourMohammadi (University of Alberta), Ying Cao (HKUST), Bo Sun (University of Waterloo), Xiaoqi Tan (University of Alberta)

 

Dual-Learning-Augmented Algorithm for Edge-Weighted Online Bipartite Matching

Jianyi Yang (University of Houston)

 

Heterogeneous Multi-Agent Bandits with Parsimonious Hints

Amirmahdi Mirfakhar (UMass Amherst), Xuchuang Wang (UMass Amherst), Jinhang Zuo (CityUHK), Yair Zick (UMass Amherst), Mohammad Hajiesmaili (UMass Amherst)

 

Cost-Driven Data Caching with Predictions

Tianyu Zuo (Nanyang Technological University), Xueyan Tang (Nanyang Technological University), Bu Sung Lee (Nanyang Technological University)

 

Distributionally Robust Learning for Smoothed Online Optimization via Generative Ambiguity Modeling

Calvin Glisson (California State University, San Bernardino), Pengfei Li (UC Riverside), Qiuxiao Chen (California State University, San Bernardino), Jianyi Yang (University of Houston)

 

From Prediction to Performance: Consistency and Robustness in Online Knapsack

Helia Karisani (UMass Amherst), Mohammadreza Daneshvaramoli (UMass Amherst), Adam Lechowicz (UMass Amherst), Bo Sun (University of Waterloo), Cameron Musco (UMass Amherst), Mohammad Hajiesmaili (UMass Amherst)

 

Online Mechanism Design with Predictions

Eric Balkanski (Columbia University), Vasilis Gkatzelis (Drexel University), Xizhi Tan (Drexel University), Cherlin Zhu (Columbia University)

 Overview  Program