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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