Socials

[ West 217 - 219 ]

Deep Learning is the end-to-end solution to all our problems. Now that we know that, we should focus on what remains: the beautiful and elegant theory behind learning (whether it is deep, reinforced, statistical, online, interactive, supervised or not, Bayesian, etc.). Joke aside, there is a large part of the learning theory community that is attending NeurIPS. This event is purely social, a meeting point for people from the learning theory community in the NeurIPS maze and crowd. The objectives are not to be fancy, far from it (theory is not fancy ! or is it ?) but just a gathering of colleagues/friends sharing the common interest in rigorous and beautiful proof, rates of convergences and obscure theorems.

[ West 202 - 204 ]

Well-being. A word many of us miss from our vocabulary because our training excludes it. Stories of toxic work culture, hyper-competitiveness, blurred work-life boundaries - are all symptoms caused by the lack of a systematic approach to well-being and mental health support in out community. The Well-Being in ML (WBiML) social is an opportunity to make our community mindful of positive well-being practices at the very conference that epitomises its science. Its end goal is to provide the community with tools to maintain their well-being and mental heath, and encourage them to be outspoken on these issues. The event will be mostly interactive, meaning that attendees will learn and also experience briefly one simple idea: well-being can help us in our journey of professional and personal growth.

[ West 205 - 207 ]

The AI for Social Good “social” is focused on research and solution development in the AI for Social Good field. The social is open to all and is intended for both research-centered attendees and attendees concerned with engineering in socially-relevant problem domains.

The networking happy hour will include a series of talks from practitioners in the AI for Social Good applications space. The talks will range from practical applications of AI to solve humanitarian challenges, difficulties/obstacles in using AI to solve these challenges, and what the future holds for this new field.

The last part of the social will feature a pitch component, in which we will ask those in attendance to do a quick pitch on their idea to apply AI to potentially solve a challenge facing humanity.

[ West 220 - 222 ]

Interested in joining the continually growing community of reinforcement learning? Join us at the RL Social (Dec 10, 7-10 p.m at West Level 2, Room 220-222), an informal environment for NeurIPS attending agents to interact, accumulate more reward, and improve the policy in their decision making for study, research, work, and life. From 7 to 8 pm, mingle with RL experts. Confirmed (tentatively) experts are: Pieter Abbeel, Marc Bellemare, Craig Boutilier, Michael Bowling, Amir-massoud Farahmand, Chelsea Finn, Lihong Li, Michael Littman, David Silver, Satinder Singh, Rich Sutton, Csaba Szepasvari, Mengdi Wang, and Martha White. There would definitely be more RL experts coming. Then from 8 to 10 pm, dig into specific discussion topics such as model-based RL, exploration, theory, games/StarCraft, RL for real life, RL code debugging, etc., in parallel meetup groups. Supplies will be provided to make topic signs, but custom signs are always welcome. An on-site bar and a select amount of drink tickets are sponsored by Amii (https://www.amii.ca) and RLAI (http://rlai.ualberta.ca). We expect high attendance, so please feel free to bring food or drinks. Come build connections and collaborations with people from all over the world!

[ West 223 + 224 ]

We are hosting an informal event for NeurIPS attendees interested in the Deep learning and Inverse problems workshop. Join us to chat with some of the leading figures in the field. (participation in the workshop is NOT necessary to attend the social)

[ West 217 - 219 ]

NASA FDL, Google Cloud and Intel invite you to join the ‘ML 4 Space’ social event for informal discussions on the potential for ML in space science discovery and enhanced exploration concepts.

Join us for drinks and nibbles and a chance to connect one-on-one with an emerging community of specialists working in the intersection of data science and space science and engineering. To get the conversations flowing, the team from NASA FDL, Google Cloud and Intel will share some thoughts on the potential coming over the horizon - both in terms of emerging capacity and needs for space exploration.

This first and foremost a ‘social’ - so, the agenda for the evening will include a space pop quiz (and prizes!) and some facilitated small discussions on emerging areas of investigation, such as:

    •       AI on onboard spacecraft
    •       Decision intelligence for planetary stewardship
    •       Virtual instruments
    •       Hardware in the loop
    •       Super-resolution application
    •       Explainability for science.

Please register your interest in attending, by signing up on the Eventbrite link https://ml-4-space-neurips.eventbrite.com Please note: registration in Eventbrite is not necessary for attending this event. Only NeurIPS ticket holders can attend.

[ West 205 - 207 ]

Join us for 5-minute Ignite talks by women in AI and brainstorm on actionable next steps to take to our local communities! Contact: Ting Su, tsu@mathworks.com, Anoush Najarian, anoushnajarian@gmail.com

[ West 223 + 224 ]

T-PRIME (Tractable PRobabilistic Inference MEeting) is the first social event of a series for researchers and practitioners working on (or interested in) tractable inference to join forces.

[ West 202 - 204 ]

This social event will be a hybrid cocktail/mocktail mixer and optional breakout activity for people to discuss strategies for scoping, generating buy-in for, executing AI ethics projects with other people working in similar roles across the NeurIPS community. There will be a chance to share all of these strategies via a post-it wall during the event, and PAI will create and publish a short summary of what is shared during the session after NeurIPS 2019. The goal is to create a friendly and welcoming environment where people can share their ideas, commiserate about challenges, and meet future collaborators so that together the AI industry can make even faster progress on the complex goal of making sure AI technology benefits all people and society.

[ West 202 - 204 ]

A relaxing but interactive environment after a busy conference day. We invite Budding Researchers (esp. Pre-PhD participants) to take part in our event. We will have great mentors intermix with diverse groups of students to have eclectic discussions. Our goal is to foster multi-disciplinary perspectives, inspire the young and provoke chats that may define future careers. Bonus- A quiz on SciFi/Tech trivia! Students from diverse backgrounds are especially encouraged to attend. We will be promoting opportunities at new labs doing amazing AI research.

[ West 220 - 222 ]

Panel discussion aiming at raising awareness, supporting and advocating for disabled people.

[ West 205 - 207 ]

An event with informal presentations on how to address pressing issues in the world as ML researchers, open discussions about what problems and timescales to focus our attention on, influencing long-term trajectory of AI vs ML for immediate social impact. Network with others who want to work on high social impact projects.

[ West 223 + 224 ]

RealityEngines.AI and Vicarious will host a conversation about start-ups and deep learning researchers. The event will kick off with an open bar cocktail and appetizer reception. There will then be two open-mic debates about whether researchers should choose start-ups over large companies. Attendees can sign up to debate each other during the reception hour, and we will have a total of two rounds. The winner for each round will be decided by an audience vote. This will be followed by a 20-minute panel discussion on the lack of diversity in ML/AI researchers and practitioners in start-ups and how best to fix it. The panel will be moderated by Bindu Reddy, CEO of RealityEngines.AI. Panelists will all be research scientists from start-ups.

[ West 217 - 219 ]

Enjoy an entertaining, but hopefully also thought-provoking evening watching a “British parliamentary style” debate on a controversial topic in machine learning. Debaters, split amongst 4 teams, will be assigned a side randomly, with two teams arguing for each side. Each team competes both to win the debate against the opposing side and to overshadow the other team on their own side. We will encourage attendees to discuss the topic amongst themselves, suggest questions and vote before and after to see who is convinced by our illustrious debaters. To encourage open discussion, we ask attendees to follow the Chatham House rules, which state that the debate should be unrecorded and that arguments made during the debate not be later attributed to the person making them. The topic of the debate will be released at the beginning of NeurIPS. We hope it will be an evening of stimulating conversation, changed minds and laughter.

For more details, topic announcement and to see our list of debaters: https://greatneuripsdebate.me.net.nz

Timeline - Thursday December 12: 7pm: Door opens. 7:15: Instructions / Introduce our topic and debaters. 7:30: Break for audience discussion / first vote. 7:45: Debate - Front-Benchers make their case 8:20: Break for audience discussion. …

[ West 220 - 222 ]

An informal, inclusive event for networking and socializing among probabilistic programming students and researchers.

Mementor Beta

The Mementor portal should help us scheduling spontaneous virtual mentor sessions during NeurIPS and beyond. Our goal is to enable mentorship opportunities for researchers in machine learning, both as mentors and mentees, with a special focus on under-represented minorities.

Our initial goal is to provide a platform to support conversations between mentors and mentees. The mode of operation initially will be a “lighter” version, where a mentor, at a time of their convenience, has a video call, which everybody willing as a mentee can join. No person-to-person commitment.

The mentorship session serves as a platform to share experiences. These could be technical and research related (e.g., research topics and technical discussions), or could be about scientific communication (e.g., paper writing, presentation, networking), or could also be mental health, burnouts, work ethics, PhD life etc. The goal is to facilitate sharing of experiences between members of the community which would not happen otherwise.

Note: The mentorship sessions are not a platform for self-promotion or promotion of products.