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Live Mentoring Events
The AISTATS 2022 organizing committee is pleased to announce several live mentoring events for conference attendees to give and receive mentorship. Please contact aistats2022+mentorship@gmail.com if you have any questions.
MeMentor mentoring sessions
Various times from Monday, March 28th to Wednesday, March 30th; see https://mementor.net for exact times.
The goal of these mentoring sessions is to facilitate sharing of experiences between members of the community which would not happen otherwise. The following mentors will be hosting mentoring sessions on MeMentor:
Mentors
- Asma Ghandeharioun (Google Research)
- David Abel (DeepMind)
- Elizaveta Semenova (Imperial College London)
- Kevin Murphy (Google Brain)
- Matteo Pirotta (Meta AI Research)
- Priyank Jaini (Google Brain)
- Ricky T.Q. Chen (Meta AI Research)
- Shagun Sodhani (Meta AI Research)
- Swati Rajwal (NSUT, India)
- Weiwei Zong (Henry Ford Health System)
- Wenbin Zhang (Carnegie Mellon University)
Mentoring Retrospectives Workshop
Wednesday, March 30th, 17:00-19:00 UTC
This event celebrates the submission mentorship program, with mentees presenting talks on their papers, and talks from experienced researchers in the ML community on good research practices. The workshop ends with an open social for AISTATS attendees. For the link to join the event, please check the virtual site.
Agenda (all times are UTC)
| 17:00-17:20 (livestream) |
Learnings from AISTATS 2022 Submission Mentoring Program, Pablo Samuel Castro (Google Brain) and Sarah Tan (Meta) |
| 17:20-17:40 (livestream) |
Mentee Talks and Experience Sharing |
| AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection, Laya Rafiee (Concordia University) | |
| 17:45-18:30 (livestream) |
Good Research Practices |
| How to write a great paper, Bilal Alsallakh (Meta) | |
| How to present your research, Li Chen (Meta) | |
| How to read papers, Aaditya Ramdas (Carnegie Mellon University) | |
| Tips for grad school research, Matias Valdenegro (University of Groningen) | |
| 18:30-19:00 |
Open Social |
Submission Mentoring Program
The AISTATS 2022 organizing committee is pleased to announce a pilot program to assist underrepresented and/or first-time AISTATS submitters. This program will match submitters (mentees) with senior researchers (mentors) to provide targeted feedback on their AISTATS submission. Applications to receive/provide mentorship will be accepted on a rolling basis until September 20th, 2021 following this link.
To apply to be a mentee, please prepare a PDF of up to 3-pages with a draft/excerpt/extended abstract of your submission, and 2-4 names of senior researchers you would like to be matched with. While we cannot guarantee an exact match, we will try our best.
To apply to be a mentor, you should be an assistant professor+ (academia) or senior research scientist+ (industry). You can also nominate someone else. Mentors will be acknowledged on the AISTATS website.
Timelines
- Sep 20: last day to apply to be a mentee/mentor. Matches made on a rolling basis up to this date, no later than 1 week after application is received
- Sep 27: mid-program check-in
- Oct 8: AISTATS abstract submission deadline
- Oct 15: AISTATS paper submission deadline
Mentee/mentor expectations
- Mentees and mentors are expected to communicate via email and/or video/audio chat
- We will check in around Sep 27 to see if the match is going well. Mentees or mentors can request a new match if needed at that time.
- Time commitment is ~1 hour/week until the paper deadline, or ~5 hours total.
Data sharing: For mentees, the PDF/extended abstract will be shared with senior researchers to organize a match. For both mentees/mentors, your contact info will be shared with your mentor/mentee once matched. Email aistats2022+mentorship@gmail.com if you have any questions.
Mentors
The AISTATS 2022 chairs appreciate the help of all the mentors who kindly volunteered and contributed to the success of this program.
- Aadirupa Saha (Microsoft Research)
- Aryan Mokhtari (University of Texas at Austin)
- Balaji Lakshminarayanan (Google Brain)
- Bilal Alsallakh (Facebook Applied AI Research)
- Boudour Ammar (University of Sfax)
- Boyu Wang (Western University)
- Bryon Aragam (University of Chicago)
- Ganesh Venkatesh (Facebook)
- Josiah Hanna (University of Wisconsin, Madison)
- Li Chen (Facebook)
- Mohammad Emtiyaz Khan (RIKEN AIP, Tokyo)
- Nicole Mücke (TU Braunschweig)
- Olivier Delalleau (Facebook AI Research)
- Ruqi Zhang (UT Austin)
- Sara Magliacane (University of Amsterdam)
- Tom Sercu (Facebook AI Research)
- Weiwei Zong (University of Michigan)
- Yingzhen Yang (Arizona State University)
- Zhiting Hu (UCSD)