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Tentative schedule

Table of contents

  1. Week0 (Aug 18)
  2. Week1 (Aug 25)
  3. Week2 (Sep 1)
  4. Week3 (Sep 8)
  5. Week 4 (Sep 15)
  6. Week 5 (Sep 22)
  7. Week 6 (Sep 29)
  8. Week 7 (Oct 6)
  9. Week 8 (Oct 13)
  10. Week 9 (Oct 20)
  11. Week 10 (Oct 27)
  12. Week 11 (Nov 3)
  13. Week 12 (Nov 10)
  14. Week 13 (Nov 17)
  15. Week 14 (Nov 24)
  16. Week 15 (Dec 1)
  17. Week 16 (Dec 8)

Week0 (Aug 18)

Set up a time for the meeting.

Week1 (Aug 25)

  • Discuss plans and papers to read

Week2 (Sep 1)

  • No meeting

Week3 (Sep 8)

  • Presenter: Hankyu Jang

Choi, E., Xu, Z., Li, Y., Dusenberry, M., Flores, G., Xue, E., & Dai, A. (2020). Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. Proceedings of the AAAI Conference on Artificial Intelligence, 34(01), 606-613. https://doi.org/10.1609/aaai.v34i01.5400 Paper link

Week 4 (Sep 15)

  • Presenter: Hasib Hasan

Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser Ł, Polosukhin I. Attention is all you need. InAdvances in neural information processing systems 2017 (pp. 5998-6008). Paper link

Week 5 (Sep 22)

  • Presenter: Prof. Sriram Pemmaraju

Tutorial on submodular functions

Week 6 (Sep 29)

  • Presenter: Jeff Keithley

Kempe D, Kleinberg J, Tardos É. Maximizing the spread of influence through a social network. InProceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining 2003 Aug 24 (pp. 137-146). Paper link

Week 7 (Oct 6)

  • Presenter: Prof. Bijaya Adhikari

Title: Exploiting and optimizing mobility to reduce Hospital Acquired Infections

Week 8 (Oct 13)

  • Presenter: David Aites

General overview of GCNs

Week 9 (Oct 20)

  • Presenter: Prof. Sriram Pemmaraju

Tutorial on submodular function maximization with matroid constraints, which will serve as “Part 2” in the series of tutorials on submodular function optimization.

Week 10 (Oct 27)

  • Presenter: Akash Choudhuri

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash. When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS 2021. Paper link

Week 11 (Nov 3)

  • Presenter: Masahiro Kiji

Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany, Laplacian Change Point Detection for Dynamic Graphs, KDD 2020 Paper Link

Week 12 (Nov 10)

  • Presenter: Hankyu Jang

Sofia Maria Nikolakaki, Alina Ene, Evimaria Terzi, An Efficient Framework for Balancing Submodularity and Cost, KDD 2021 Paper Link

Week 13 (Nov 17)

Panel discussion on the SDM reviews

Week 14 (Nov 24)

No meeting - Thanksgiving break

Week 15 (Dec 1)

  • Presenter: Jeff Keithley

Tasuku Soma, Yuichi Yoshida, Maximizing Monotone Submodular Functions over the Integer Lattice, Mathematical Programming 2018 Paper Link

or

Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba, Ken-ichi Kawarabayashi, Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm, ICML 2014 Paper Link

Week 16 (Dec 8)

  • Presenter: Hasib Hasan

Ravi Kumar, Manish Purohit, Zoya Svitkina, Improving Online Algorithms via ML Predictions, AAAI 2018 Paper Link