|
Poster
|
Wed 10:45
|
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
Basri Ronen · David Jacobs · Yoni Kasten · Shira Kritchman
|
|
|
Poster
|
Wed 17:00
|
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn · Sungmin Cha · Donggyu Lee · Taesup Moon
|
|
|
Poster
|
Wed 17:00
|
Regularized Weighted Low Rank Approximation
Frank Ban · David Woodruff · Richard Zhang
|
|
|
Poster
|
Wed 10:45
|
First order expansion of convex regularized estimators
Pierre C Bellec · Arun Kuchibhotla
|
|
|
Poster
|
Tue 17:30
|
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
Gauthier Gidel · Francis Bach · Simon Lacoste-Julien
|
|
|
Poster
|
Wed 10:45
|
Implicit Regularization for Optimal Sparse Recovery
Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini
|
|
|
Poster
|
Tue 17:30
|
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney · Norman Di Palo · Mathias Berglund · Alexander Ilin · Juho Kannala · Antti Rasmus · Harri Valpola
|
|
|
Poster
|
Tue 17:30
|
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
Yi Xu · Rong Jin · Tianbao Yang
|
|
|
Poster
|
Tue 17:30
|
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Dominic Richards · Patrick Rebeschini
|
|
|
Poster
|
Wed 17:00
|
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression
Ruidi Chen · Yannis Paschalidis
|
|
|
Poster
|
Thu 17:00
|
Block Coordinate Regularization by Denoising
Yu Sun · Jiaming Liu · Ulugbek Kamilov
|
|
|
Poster
|
Thu 17:00
|
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu · Shuqing Li · Cho-Jui Hsieh · James Sharpnack
|
|
