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Congratulations to all our researchers who have papers accepted to NeurIPS 2024!
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
Dimitri Meunier · Zikai Shen · Mattes Mollenhauer · Arthur Gretton · Zhu Li
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
Daniel Kunin · Allan Raventos · Clémentine Carla Juliette Dominé · Feng Chen · David Klindt · Andrew M Saxe · Surya Ganguli
Foundations of Multivariate Distributional Reinforcement Learning
Harley Wiltzer · Jesse Farebrother · Arthur Gretton · Mark Rowland
Near-Optimality of Contrastive Divergence Algorithms
Pierre Glaser · Han (Kevin) Huang · Arthur Gretton
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff · Alexis Bellot · Amal Rannen-Triki · Alan Malek · Isabela Albuquerque · Arthur Gretton · Alexander D'Amour · Silvia Chiappa
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov · Michalis Titsias · Razvan Pascanu · Clare Lyle · András György · Yee Whye Teh · Maneesh Sahani
Neural networks with fast and bounded units learn flexible task abstractions
Jan Bauer · Alexandra Proca · Kai Sandbrink · Andrew Saxe · Christopher Summerfield · Ali Hummos
Nonlinear dynamics of localization in neural receptive fields
Leon Lufkin · Andrew Saxe · Erin Grant
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain · Rozhin Nobahari · Aristide Baratin · Stefano Mannelli
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
Christopher Wang · Adam Yaari · Aaditya Singh · Vighnesh Subramaniam · Dana Rosenfarb · Jan DeWitt · Pranav Misra · Joseph Madsen · Scellig Stone · Gabriel Kreiman · Boris Katz · Ignacio Cases · Andrei Barbu