Featured Papers Panels 1C


Moderators: Bo Han · Charles Zheng · Kangwook Lee · Kumar Kshitij Patel · Li Kevin Wenliang · Shaocong Ma · Souvik Kundu · Yulei Niu


Each panel session is split into four 30-minute blocks composed of a set of lightning talks and a deep dive session related to similar topics. The deep dive will begin immediately after lightning talks and the related Q&A (it might be before the 15 min are over). We will not take any questions via microphone but ask you to use slido (see embedding below or go to and use keyword #neurips22). If you are a presenter or moderator, you should see a zoom link that you can use to join the session for Q&A.

Finally some important don'ts: DO NOT share any zoom or slido information publicly. DO NOT join zoom if you are not presenting or moderating.

Chat is not available.

Tue 6 Dec. 9:00 - 9:15 PST

Panel 1C-1: Learning Neural Set… & Holomorphic Equilibrium Propagation…

Axel Laborieux · Yatao Bian

Tue 6 Dec. 9:15 - 9:30 PST

Panel 1C-2: Reconstructing Training Data… & On Optimal Learning…

Gal Vardi · Idan Mehalel

Tue 6 Dec. 9:30 - 9:45 PST

Panel 1C-3: Towards Understanding Grokking:… & Approximation with CNNs…

Ziming Liu · GUOHAO SHEN

Tue 6 Dec. 9:45 - 10:00 PST

Panel 1C-4: Fast Bayesian Coresets… & Not too little,…

Nicolas Keriven · Cian Naik

Tue 6 Dec. 10:00 - 10:15 PST

Panel 1C-5: Privacy of Noisy… & Near-Optimal Private and…

Shyam Narayanan · Kunal Talwar

Tue 6 Dec. 10:15 - 10:30 PST

Panel 1C-6: Debiased Self-Training for… & Universal Rates for…

Grigoris Velegkas · Baixu Chen

Tue 6 Dec. 10:30 - 10:45 PST

Panel 1C-7: Beyond Adult and… & Uncalibrated Models Can…

Kailas Vodrahalli · Flavio Calmon

Tue 6 Dec. 10:45 - 11:00 PST

Panel 1C-8: Local Spatiotemporal Representation… & Learning Latent Seasonal-Trend…

Mengwei Ren · Zhiyuan Wang