|
Poster
|
Wed 14:30
|
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
Matthew MacKay · Paul Vicol · Jonathan Lorraine · David Duvenaud · Roger Grosse
|
|
|
Poster
|
Wed 14:30
|
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
Frederic Koehler · Andrej Risteski
|
|
|
Poster
|
Wed 14:30
|
An analytic theory of generalization dynamics and transfer learning in deep linear networks
Andrew Lampinen · Surya Ganguli
|
|
|
Poster
|
Wed 14:30
|
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora · Nadav Cohen · Noah Golowich · Wei Hu
|
|
|
Poster
|
Wed 14:30
|
A Kernel Random Matrix-Based Approach for Sparse PCA
Mohamed El Amine Seddik · mohamed Tamaazousti · Romain Couillet
|
|
|
Poster
|
Tue 9:00
|
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey · Samuel Ocko · Surya Ganguli · Stephane Deny
|
|
|
Poster
|
Wed 14:30
|
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Navid Azizan · Babak Hassibi
|
|
|
Poster
|
Wed 14:30
|
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Peng Cao · Yilun Xu · Yuqing Kong · Yizhou Wang
|
|
|
Poster
|
Wed 14:30
|
Caveats for information bottleneck in deterministic scenarios
Artemy Kolchinsky · Brendan D Tracey · Steven Van Kuyk
|
|
|
Poster
|
Wed 14:30
|
A Mean Field Theory of Batch Normalization
Greg Yang · Jeffrey Pennington · Vinay Rao · Jascha Sohl-Dickstein · Samuel Schoenholz
|
|
|
Poster
|
Wed 14:30
|
Learning to Make Analogies by Contrasting Abstract Relational Structure
Felix Hill · Adam Santoro · David Barrett · Ari Morcos · Timothy Lillicrap
|
|
|
Poster
|
Tue 14:30
|
Approximability of Discriminators Implies Diversity in GANs
Yu Bai · Tengyu Ma · Andrej Risteski
|
|
