NeurIPS 2022

Congratulations to all our researchers who have papers accepted to NeurIPS 2022!

Structured Recognition for Generative Models with Explaining Away
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
https://arxiv.org/abs/2209.05212

KSD Aggregated Goodness-of-fit Test
Antonin Schrab, Benjamin Guedj, Arthur Gretton
https://arxiv.org/abs/2202.00824

Computationally Efficient Aggregated Kernel Tests using Incomplete U-statistics
Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton
https://arxiv.org/abs/2206.09194

Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li*, Dimitri Meunier*, Mattes Mollenhauer, Arthur Gretton
https://arxiv.org/abs/2208.01711

Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge
Clémentine Carla Juliette Dominé, Lukas Braun, James E Fitzgerald, Andrew M Saxe
(OpenReview link)

Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie C.Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya Singh, Pierre H. Richemond, Jay McClelland, Felix Hill
https://arxiv.org/abs/2205.05055

Stability and Scalability of Node Perturbation Learning
Naoki Hiratani, Yash Mehta, Tim Lillicrap, Peter Latham
(OpenReview link)

An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti, Stefano Mannelli, Andrew Saxe
https://arxiv.org/abs/2106.08068