Gao, Yansong (髙岩🌲)

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PhD Candidate,
GRASP Robotics Laboratory,
University of Pennsylvania
Philadelphia, USA

About me

Hi! I am a Ph.D. Candidate at the University of Pennsylvania and advised by Pratik Chaudhari. I work on a handbook for pre-training models. My research interests span areas like multi-task learning, transfer learning, unsupervised learning, and information theory. I graduated from Shanghai Jiao Tong University (SJTU) in 2017 with a Dual Degree (Bachelor in Mathematics and Physics), where Yaokun Wu advised me.


My research interests include:

  • Multi-task Learning, Transfer Learning and Unsupervised Learning

  • Deep Gnerative Models

  • Information Geometry

  • Algorithmic game theory

Current work

  • A handbook for pretraining learning models


  • Deep Reference Priors: What is the best way to pretrain a model?

    Yansong Gao*, Rahul Ramesh*, and Pratik Chaudhari

    ICML 2022


  • Beyond the worst-case analysis of random priority: Smoothed and average-case approximation ratios in mechanism design

    Xiaotie Deng, Yansong Gao, and Jie Zhang

    Information and Computation 2022


  • An information-geometric distance on the space of tasks

    Yansong Gao and Pratik Chaudhari

    ICML 2021


  • A free-energy principle for representation learning

    Yansong Gao and Pratik Chaudhari

    ICML 2020


  • Average-case analysis of the assignment problem with independent preferences

    Yansong Gao and Jie Zhang

    IJCAI 2019


  • On Scheduling Mechanisms Beyond the Worst Case

    Yansong Gao and Jie Zhang


  • Full list of publications in Google Scholar.


  • ICML, NeurIPS, ICLR, Entropy

  • My Puzzles