Reading Group

Reading Group #

The paper reading group meets weekly during the semester to discuss papers. Participation is open to all, guests are always welcome; if you are interested in engaging with us, please feel free to contact Dr Ke Li.

Agenda (Year 2023) #

  • Multi-Objective Bi-Level Optimization for AutoML in Cross-Project Defect Prediction
    Work Presentation
    slides | Jiaxin Chen | Aug 6

  • Paper Title
    Paper Reading
    slides | Presenter | July 23

  • Data-driven Literature Exploration with Topic Modeling, LLMs and Network Analysis
    Work Presentation
    slides | Mingyu Huang | July 30

Moderator: Fan Li

  • Optimistic tree search strategies for black-box combinatorial optimization
    NeurIPS'22
    paper | slides | Peili Mao | June 4

  • Explaining Hyperparameter Optimization via Partial Dependence Plots
    NeurIPS'21
    paper | slides | Mingyu Huang | June 18

  • Learning Algorithms for Active Learning
    PMLR 2017
    paper | slides | Tian Huang | June 18

Moderator: Peili Mao

  • Bayesian Optimization with Conformal Prediction Sets
    AISTAS 2023
    paper | slides | Shengbo Wang | May 7

  • A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
    NeurIPS 2020
    paper | slides | Fan Li | May 14

  • RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
    NeurIPS 2022
    paper | slides | Shasha Zhou | May 21

Moderator: Shengbo Wang

Previous reading group information can be found from our archive.