Session

Featured Papers Panels 1C

Virtual

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

Abstract:

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 https://slido.com 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