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Workshop
An Empirical Analysis of the Advantages of Finite v.s. Infinite Width Bayesian Neural Networks
Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez
Workshop
An Empirical Analysis of the Advantages of Finite vs.~Infinite Width Bayesian Neural Networks
Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez
Poster
Thu 9:00
On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard
Poster
Thu 9:00
Non-Gaussian Tensor Programs
Eugene Golikov · Greg Yang
Poster
Wed 14:00
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
Poster
Wed 9:00
Free Probability for predicting the performance of feed-forward fully connected neural networks
Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
Workshop
Dynamical Mean Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
Poster
Tue 14:00
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva · Mehak Dhaliwal · Carole-Jean Wu · Julian Mcauley
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