Archive of Reading Group

Archive of Reading Group #

Agenda (Year 2022) #

  • Optimizing Millions of Hyperparameters by Implicit Differentiation
    AISTAS 2020
    paper | slides | Han Guo | October 16

Agenda (Year 2021) #

  • Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
    WWW 2019
    paper | slides | Jiangjiao Xu | June 20

  • Bayesian temporal factorization for multidimensional time series prediction
    IEEE PAMI 2021
    paper | slides | Jiangjiao Xu | June 13

  • Discrete Fourier Transform and Random Fourier Features
    Data-Driven Science and Engineering, Chapter 2: 47–83, 2019
    slides | Phoenix Williams | June 9

  • Global Optimization via Inverse Distance Weighting and Radial Basis Functions
    Comput. Optim. Appl., 77: 571–595, 2020
    paper | slides | Jiahao Zhou | May 30

  • Sequential Monte Carlo: Theory and Applications
    Foundations and Trends in Machine Learning, 12(3): 307–392, 2019
    paper | slides | Peili Mao | May 23

  • Generalized Homotopy Approach to Multiobjective Optimization
    J. Optimiz. Theory App., 110: 557–583, 2001
    paper | slides | Yongqi Feng | Mar 15

  • Machine Learning Approaches in Programming Language Type Inference
    slides | Jiancheng Qian | Mar 7

  • Understanding and Improving Information Transfer in Multi-Task Learning
    ICLR 2020
    paper | slides | Renzhi Chen | Feb 7
  • OOD-MAML: Meta-Learning for Few-ShotOut-of-Distribution Detection and Classification
    NIPS 2020
    paper | slides | Jiangjiao Xu | Jan 31

  • Domination Measure: A New Metric for Solving Multiobjective Optimization
    INFORMS J. Comput., 32(3): 565–581, 2020
    paper | slides | Xinyu Shan | Jan 24

  • ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
    ICLR 2020
    paper | slides | Shasha Zhou | Jan 3

Agenda (Year 2020) #

  • Surrogate Assisted Evolutionary Algorithms, Fan Li Dec 27
    [slides]

  • RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design, ACM Trans. Graphics. Jiahao Zhou Dec 20
    [ paper] [slides]

  • Optimization, Fast and Slow: Optimally Switching Between Local and Bayesian Optimization, ICML 2018. Guozhao Wei Dec 13
    [ paper] [slides]

  • Ordinal Regression with Multiple Output CNN for Age Estimation, CVPR 2016. Guiyu Lai Nov 29
    [ paper] [ slides]

  • Towards Fast Adaptation of Neural Architectures with Meta Learning, ICLR 2020. Shasha Zhou Nov 22
    [ paper] [ slides]