Stefani Karp

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Pac Learnability

Sample Complexity

Top Venues

Publications

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