Workshop
|
|
Mitigating Dataset Bias by Using Per-sample Gradient
Sumyeong Ahn · SeongYoon Kim · Se-Young Yun
|
|
Workshop
|
|
Mitigating Dataset Bias by Using Per-sample Gradient
Sumyeong Ahn · SeongYoon Kim · Se-Young Yun
|
|
Workshop
|
|
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
|
|
Poster
|
Tue 9:00
|
Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
|
|
Poster
|
Wed 14:00
|
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Zhiyuan Li · Tianhao Wang · Jason Lee · Sanjeev Arora
|
|
Poster
|
Tue 14:00
|
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran · Gal Vardi · Jason Lee
|
|
Poster
|
Tue 9:00
|
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
Bo Liu · Xidong Feng · Jie Ren · Luo Mai · Rui Zhu · Haifeng Zhang · Jun Wang · Yaodong Yang
|
|
Poster
|
Tue 9:00
|
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
|
|
Poster
|
Tue 9:00
|
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
Changyou Chen · Jianyi Zhang · Yi Xu · Liqun Chen · Jiali Duan · Yiran Chen · Son Tran · Belinda Zeng · Trishul Chilimbi
|
|