What is SNRG?
SNRG is a reading group that holds weekly meetings to discuss interesting papers and problems, generally related to social networks. Feel free to attend meetings and participate in discussions. All ideas about problems, papers, talks, etc. are welcome. Meetings usually start with stating an interesting problem without getting into possible solutions, and then following up possible approaches to previously stated problems. An informal talk by a volunteer follows, and attendants discuss about the paper(s) as the speaker proceeds. Finally, possible applications of and extensions to the approach are discussed.
When, where, and how?
Currently, in the second Winter term of 2016/2017, meetings are held on Monday 2:00-3:30 pm in ICICS 304 .
You can also subscribe to our mailing list to get latest news and announcements. Please send an email to majordomo@cs.ubc.ca containing "subscribe sn-rg" in its body, and then follow the instructions.
SNRG talks
List of previous and upcoming talks:
| Date | Speaker | Title or Paper Name |
| Feb 1 | Glenn | Akhil Arora, Sainyam Galhotra, Sayan Ranu, "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study", SIGMOD 2017. |
| Feb 19 | Prithu | Samuel Ieong, Mohammad Mahdian and Sergei Vassilvitskii, Advertising in a stream, WWW 2014. |
| Feb 27 | Prithu | (continued) |
| Mar 6 | Sharan | Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks Lakshmanan and Mark Schmidt. Diffusion Independent Semi-Bandit Influence Maximization. |
| Mar 13 | Ritika | Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg and Aneesh Sharma. Cascades: A view from Audience. WWW 2017. |
| Mar 20 | - | - |
| Mar 27 | Alex | Brett Walenz and Jun Yang, Perturbation analysis of database queries, VLDB 2016. |
| April 3 | Glenn | Andrew An Bian, Joachim M. Buhmann, Andreas Krause and Sebastian Tschiatschek, Guarantees for Greedy Maximization of Non-submodular Functions with Applications, On ArXiv March 6, 2016. |
| April 10 | Glenn | (continued) |
| April 17 | - | - |
| April 24 | - | - |
| May 1 | Alex | Mark Herbster and Manfred K. Warmuth, Tracking the Best Expert, Journal of Machine Learning, August 1998, Volume 32, Issue 2. |
| May 7 | Prithu | Wei Lu, Wei Chen and Laks V.S. Lakshmanan, From competition to complementarity: comparative influence diffusion and maximization, VLDB 2015. |
| May 14 | Prithu | (continued) |
| May 22 | - | - |
| June 5 | Glenn | Nan Du, Yichen Wang, Niao He, Le Song, Time-Sensitive Recommendation From Recurrent User Activities, NIPS 2015. |
| June 12 | Prithu | Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang, Streaming Recommender Systems, WWW 2017. |
| June 19 | Alex | Luan Tran, Liyue Fan, Cyrus Shahabi, Distance-based outlier detection in data streams , VLDB 2016. |
| June 26 | Laks | Paper writing tips. |
| July 3 | Kiran | Quantifying and Reducing Polarization on Social media |
| July 10 | Ezequiel | Automated Fact-checking and ClaimBuster |
| July 17 | Alex | Leo Breiman, Random Forests, Machine Learning, October 2001. |
| July 24 | Jiannan Wang and Yudian Zheng | "Speeding Up Data Science: From a Data Management Perspective" and "Managing the Quality of Crowdsourced Data". |
| Aug 3 | Prithu | Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeff Yuan, Lluis Garcia-Pueyo, Supercharging recommender systems using taxonomies for learning user purchase behavior, PVLDM, June 2012. |
| Aug 10 | Yuxi | Long short-term memory |