On day 3 (Wednesday) we have a full agenda starting with the main program, which will consists of three sessions.
- Session 1 starting at 7 UTC-0 will showcase the invited lecture by Gabor Lugosi on “Do We Know How to Estimate the Mean?“”. This lecture is in honor of Leo Breiman, a distinguished statistician who passed away in 2005 and whose seminal contributions include bootstrapping and random forests, to name a few. The invited talk will be followed by a poster session.
- Session 2 starting at 15.00 UTC-0 will showcase a panel on “The Role of Benchmarks in the Scientific Progress of Machine Learning”. After the panel there will be four concurrent oral sessions on: deep learning (this track will feature one of the outstanding paper awards: Deep Reinforcement Learning at the Edge of the Statistical Precipice by Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, and Marc G. Bellemare), optimization (this track will feature one of the outstanding paper awards: Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms by Mathieu Even, Raphaël Berthier, Francis Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, and Adrien Taylor), theory, and vision applications.
- Session 3 starting at 23.00 UTC-00 will begin with the lecture by Peter Bartlett on “Benign Overfitting”; this talk is in memory of Ed Posner who founded NeurIPS. This last session will conclude with a poster session.
Competitions, Socials and Affinity events. During the main program intermissions instead, there will be competition presentations, as well as various affinity events (Queer in AI, Indigenous in AI, Women in ML – part 1) and socials (“Shine in Your Technical Presentation”, “Space & ML”, “BigScience”, “Interdisciplinary ML”, “ML in India”).
Town Hall . Lastly, there will also be the first of two Town Hall meetings at 17.00 UTC-0, which is an opportunity to provide feedback to the organizers and to learn about all the work that went on behind the scenes to prepare NeurIPS 2021. Consider sending feedback or questions prior to the two Town Hall meetings via email or in the rocketchat channel #townhall.