Tentative schedule
Table of contents
- Week1 (Jan 17)
- Week2 (Jan 24)
- Week3 (Jan 31)
- Week 4 (Feb 7)
- Week 5 (Feb 14)
- Week 6 (Feb 21)
- Week 7 (Feb 28)
- Week 8 (Mar 7)
- Week 9 (Mar 14)
- Week 10 (Mar 21)
- Week 11 (Mar 28)
- Week 12 (Apr 4)
- Week 13 (Apr 11)
- Week 14 (Apr 18)
- Week 15 (Apr 25)
- 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
…