Stefani Karp

11 papers A* 6Journal 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Landscape-Aware Growing: The Power of a Little LAG.
CoRR
Stefani Karp, Nikunj Saunshi, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar
2024 A* conf
On the Inductive Bias of Stacking Towards Improving Reasoning.
NeurIPS
Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank Jakkam Reddi, Sanjiv Kumar
2024 J jnl
On the Inductive Bias of Stacking Towards Improving Reasoning.
CoRR
Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar
2024 A* conf
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs.
ICLR
Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li
2024 J jnl
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs.
CoRR
Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li
2023 J jnl
Applying statistical learning theory to deep learning.
CoRR
Cédric Gerbelot, Avetik Karagulyan, Stefani Karp, Kavya Ravichandran, Menachem Stern, Nathan Srebro
2023 A* conf
Efficient Training of Language Models using Few-Shot Learning.
ICML
Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar
2022 A* conf
Agnostic Learnability of Halfspaces via Logistic Loss.
ICML
Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp
2022 J jnl
Agnostic Learnability of Halfspaces via Logistic Loss.
CoRR
Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp
2021 A* conf
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels.
NeurIPS
Stefani Karp, Ezra Winston, Yuanzhi Li, Aarti Singh
2020 A* conf
PAC-Bayes Learning Bounds for Sample-Dependent Priors.
NeurIPS
Pranjal Awasthi, Satyen Kale, Stefani Karp, Mehryar Mohri