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Reading Group

Tentative schedule

Table of contents

  1. Week1 (-)
  2. Week2 (August 31)
  3. Week3 (September 7)
  4. Week4 (September 14)
  5. Week5 (September 21)
  6. Week6 (September 28)
  7. Week7 (October 5)
  8. Week8 (October 12)
  9. Week9 (October 19)
  10. Week10 (October 26)
  11. Week11 (November 2)
  12. Week12 (November 9)
  13. Week13 (November 16)
  14. Week14 (November 23)
  15. Week15 (November 30)
  16. Week16 (December 7)
  17. Week17 (December 14)

Week1 (-)

  • Schedule meeting time

Week2 (August 31)

  • Discuss which papers to read this semester

Week3 (September 7)

  • Presenter: Hankyu Jang

Ribeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. “‘Why Should I Trust You?’: Explaining the Predictions of Any Classifier.” In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135–44. San Francisco California USA: ACM, 2016. https://doi.org/10.1145/2939672.2939778 Paper link

Week4 (September 14)

  • Presenter: Akash Choudhuri

Xu, Ran, Yue Yu, Chao Zhang, Mohammed K. Ali, Joyce C. Ho, and Carl Yang. “Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.” In Proceedings of the 2nd Machine Learning for Health Symposium, 259–78. PMLR, 2022. Paper link

Week5 (September 21)

  • No Meeting

Week6 (September 28)

  • Presenter: Jeffrey Keithley

Yokote, Koji. “[UTMD-038] Efficient, Fair, and Strategy-Proof Allocation of Discrete Resources under Weak Preferences and Constraints” The University of Tokyo Market Design Center (UTMD). Paper Link

Week7 (October 5)

  • Presenter: Yongjian Zhong

Awasthi, Pranjal, Abhimanyu Das, and Sreenivas Gollapudi. “A Convergence Analysis of Gradient Descent on Graph Neural Networks.” In Advances in Neural Information Processing Systems, 34:20385–97. Curran Associates, Inc., 2021. Paper Link

Week8 (October 12)

  • Presenter: Hieu Vu

Rasul, Kashif, Calvin Seward, Ingmar Schuster, and Roland Vollgraf. “Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting.” arXiv, February 2, 2021. Paper Link

Week9 (October 19)

  • Presenter: John Kessler

Wang, Yuke, Christine L. Moe, and Peter F. M. Teunis. “Children Are Exposed to Fecal Contamination via Multiple Interconnected Pathways: A Network Model for Exposure Assessment.” Risk Analysis 38, no. 11 (November 2018): 2478–96. Paper Link

Week10 (October 26)

  • No Meeting

Week11 (November 2)

  • Presenter: Mehrdad Moharrami

Moharrami, Mehrdad, Vijay Subramanian, Mingyan Liu, and Marc Lelarge. “Impact of Community Structure on Cascades.” arXiv, May 4, 2022. Paper Link

Week12 (November 9)

  • Presenter: Bijaya Adhikari

Chowell, Gerardo, Amna Tariq, and James M. Hyman. “A Novel Sub-Epidemic Modeling Framework for Short-Term Forecasting Epidemic Waves.” BMC Medicine 17, no. 1 (August 22, 2019): 164. Paper Link

Week13 (November 16)

  • Presenter: Sriram Pemmaraju

Cohen, Edith, et al. “Sketch-Based Influence Maximization and Computation: Scaling up with Guarantees.” Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014, pp. 629–38. arXiv.org. Paper Link

Week14 (November 23)

  • Presenter: No Meeting (Fall Break)

Week15 (November 30)

  • Presenter: TBD

Week16 (December 7)

  • Presenter: TBD

Week17 (December 14)

  • No Meeting (Final Exam Week)