Pierre Wolinski

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Conjugate Priors

Prior Probabilities

Top Venues

Publications

Michael Arbel, Romain Menegaux, Pierre Wolinski
Rethinking Gauss-Newton for learning over-parameterized models. NeurIPS (2023)
Minh Tri Le, Pierre Wolinski, Julyan Arbel
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review. CoRR (2023)
Pierre Wolinski
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives. CoRR (2023)
Pierre Wolinski, Julyan Arbel
Imposing Gaussian Pre-Activations in a Neural Network. CoRR (2022)
Pierre Wolinski, Guillaume Charpiat, Yann Ollivier
Interpreting a Penalty as the Influence of a Bayesian Prior. CoRR (2020)
Léonard Blier, Pierre Wolinski, Yann Ollivier
Learning with Random Learning Rates. ECML/PKDD (2) (2019)
Léonard Blier, Pierre Wolinski, Yann Ollivier
Learning with Random Learning Rates. CoRR (2018)