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Reading Group

Tentative schedule

Table of contents

  1. Week1 (-)
  2. Week2 (Jan 26)
  3. Week3 (Feb 2)
  4. Week4 (Feb 9)
  5. Week5 (Feb 16)
  6. Week6 (Feb 23)
  7. Week7 (Mar 2)
  8. Week8 (Mar 9)
  9. Week9 (Mar 16)
  10. Week10 (Mar 23)
  11. Week11 (Mar 30)
  12. Week12 (Apr 6)
  13. Week13 (Apr 13)
  14. Week14 (Apr 20)
  15. Week15 (Apr 27)
  16. Week16 (May 4)
  17. Week17 (May 11)

Week1 (-)

  • Schedule meeting time

Week2 (Jan 26)

  • Discuss which papers to read this semester

Week3 (Feb 2)

  • Presenter: Jeff Keithley

Yi Y, Shan L, Pare PE, Johansson KH. Fair Curing and Network Design in SIS Epidemic Processes. arXiv 2022 Nov 11. Paper link

Week4 (Feb 9)

  • Canceled

Week5 (Feb 16)

  • Canceled due to inclement weather

Week6 (Feb 23)

  • Presenter: Xiang Liu

Ravindran Kannan and Santosh Vempala (2009), Spectral Algorithms. Foundations and Trends in Theoretical Computer Science: Vol. 4: No. 3–4, pp 157-288. http://dx.doi.org/10.1561/0400000025 Link

Week7 (Mar 2)

  • Presenter: Yongjian Zhong

Chen W, Wang Y, Yuan Y. Combinatorial multi-armed bandit: General framework and applications. InInternational conference on machine learning 2013 Feb 13 (pp. 151-159). PMLR. Link

Week8 (Mar 9)

  • Canceled due to snowstorm

Week9 (Mar 16)

  • No meeting (Spring Break)

Week10 (Mar 23)

  • Presenter: Lucas Zach-Ryan

Selsam D, Lamm M, Bünz B, Liang P, de Moura L, Dill DL. Learning a SAT solver from single-bit supervision. arXiv preprint arXiv:1802.03685. 2018 Feb 11. Link

Week11 (Mar 30)

  • Presenter: Weiyu Huang

Anand K, Ge R, Panigrahi D. Customizing ML predictions for online algorithms. InInternational Conference on Machine Learning 2020 Nov 21 (pp. 303-313). PMLR. Link

Week12 (Apr 6)

  • Presenter: Akash Choudhuri

Balázs Csegő Kolok. Thesis. Eötvös Loránd University. Link

Week13 (Apr 13)

  • Presenter: Hankyu Jang

Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti. Reconstructing an Epidemic Outbreak Using Steiner Connectivity. AAAI 2023 Link

Week14 (Apr 20)

  • Presenter: Hieu T Vu

Rubanova Y, Chen RT, Duvenaud D. Latent odes for irregularly-sampled time series (2019). arXiv preprint arXiv:1907.03907. 2019. Link1

Dupont E, Doucet A, Teh YW. Augmented neural odes. Advances in neural information processing systems. 2019;32. Link2

Week15 (Apr 27)

  • Presenter: Pratik Maitra

Givchi A, Ramezani R, Baraani-Dastjerdi A. Graph-based abstractive biomedical text summarization. Journal of Biomedical Informatics. 2022 Link

Week16 (May 4)

  • Presenter: TBD

Week17 (May 11)

  • No meeting (Final Exam Week)