|
Poster
|
Thu 9:00
|
Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen · Zhourong Chen · Jaehoon Lee
|
|
|
Poster
|
Mon 17:00
|
Meta-Learning with Neural Tangent Kernels
Yufan Zhou · Zhenyi Wang · Jiayi Xian · Changyou Chen · Jinhui Xu
|
|
|
Workshop
|
Fri 11:40
|
Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick
|
|
|
Poster
|
Mon 9:00
|
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
Yong Liu · Jiankun Liu · Shuqiang Wang
|
|
|
Poster
|
Thu 17:00
|
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Zixiang Chen · Yuan Cao · Difan Zou · Quanquan Gu
|
|
|
Poster
|
Wed 9:00
|
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba · Josif Grabocka
|
|
|
Poster
|
Mon 17:00
|
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
|
|
|
Spotlight
|
Wed 5:15
|
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
|
|
|
Poster
|
Tue 17:00
|
Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti · Francis Bach
|
|
|
Poster
|
Tue 17:00
|
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
|
|
