Gao, Yansong (髙岩🌲)

PhD Candidate, GRASP Robotics Laboratory, University of Pennsylvania Philadelphia, USA E-mail: gaoyans@sas.upenn.edu

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.

Research

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

Publications

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

  Yansong Gao*, Rahul Ramesh*, and Pratik Chaudhari
  ICML 2022
  [ArXiv][code]

• 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
  [PDF]

• An information-geometric distance on the space of tasks

  Yansong Gao and Pratik Chaudhari
  ICML 2021
  [PDF][code]

• A free-energy principle for representation learning

  Yansong Gao and Pratik Chaudhari
  ICML 2020
  [PDF][code]

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

  Yansong Gao and Jie Zhang
  IJCAI 2019
  [PDF]

• On Scheduling Mechanisms Beyond the Worst Case

  Yansong Gao and Jie Zhang
  [ArXiv]

Full list of publications in Google Scholar.

Reviewer

My Puzzles