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Tentative schedule

Table of contents

  1. Week1 (Jan 17)
  2. Week2 (Jan 24)
  3. Week3 (Jan 31)
  4. Week 4 (Feb 7)
  5. Week 5 (Feb 14)
  6. Week 6 (Feb 21)
  7. Week 7 (Feb 28)
  8. Week 8 (Mar 7)
  9. Week 9 (Mar 14)
  10. Week 10 (Mar 21)
  11. Week 11 (Mar 28)
  12. Week 12 (Apr 4)
  13. Week 13 (Apr 11)
  14. Week 14 (Apr 18)
  15. Week 15 (Apr 25)
  16. Week 16 (May 2)

Week1 (Jan 17)

  • No meeting (holiday)

Week2 (Jan 24)

  • Discussion on the plans.

Week3 (Jan 31)

  • No meeting

Week 4 (Feb 7)

  • No meeting

Week 5 (Feb 14)

  • Presenter: Akash Choudhuri

Yazdani A, Lu L, Raissi M, Karniadakis GE. Systems biology informed deep learning for inferring parameters and hidden dynamics. PLoS computational biology. 2020 Nov 18;16(11):e1007575. Paper link

Week 6 (Feb 21)

  • Presenter: Jeff Keithley

Medlock J, Galvani AP. Optimizing influenza vaccine distribution. Science. 2009 Sep 25;325(5948):1705-8. Paper link

Week 7 (Feb 28)

  • Presenter: Hankyu Jang

Hung T. Nguyen, My T. Thai, and Thang N. Dinh. 2016. Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks. In Proceedings of the 2016 International Conference on Management of Data (SIGMOD ‘16). Association for Computing Machinery, New York, NY, USA, 695–710. DOI:https://doi.org/10.1145/2882903.2915207 Paper link

Week 8 (Mar 7)

  • No meeting

Week 9 (Mar 14)

  • No meeting (Spring break)

Week 10 (Mar 21)

  • Presenter: Masahiro Kiji

Heavey J, Cui J, Chen C, Prakash BA, Vullikanti A. Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. Paper link

Week 11 (Mar 28)

  • Presenter: Prof. Bijaya Adhikari

Introduction on the reinforcement learning

Week 12 (Apr 4)

  • Presenter: Prof. Sriram Pemmaraju

“Controlling Propagation at Group Scale on Networks” by Zhang, Adiga, Vullikanti, and Prakash (ICDM 2015) Paper link

Week 13 (Apr 11)

  • Presenter: Prof. Bijaya Adhikari

Reinforcement learning on combinatorial optimization

Week 14 (Apr 18)

  • Presenter: Hankyu Jang

Xiao H, Aslay C, Gionis A. Robust cascade reconstruction by steiner tree sampling. IEEE ICDM 2018 Paper link

Week 15 (Apr 25)

  • Presenter: Jeff Keithley

Das A, Kempe D. Approximate submodularity and its applications: Subset selection, sparse approximation and dictionary selection. The Journal of Machine Learning Research. 2018 Paper link

Week 16 (May 2)

  • Group lunch