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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
KSD Aggregated Goodness-of-fit Test
Antonin Schrab, Benjamin Guedj, Arthur Gretton
Computationally Efficient Aggregated Kernel Tests using Incomplete U-statistics
Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton
Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li*, Dimitri Meunier*, Mattes Mollenhauer, Arthur Gretton
Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge
Cl茅mentine Carla Juliette Domin茅, Lukas Braun, James E Fitzgerald, Andrew M Saxe
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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
Stability and Scalability of Node Perturbation Learning
Naoki Hiratani, Yash Mehta, Tim Lillicrap, Peter Latham
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An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti, Stefano Mannelli, Andrew Saxe