Stefani Karp

According to our database, Stefani Karp authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On the Inductive Bias of Stacking Towards Improving Reasoning.

Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar

CoRR, 2024

Landscape-Aware Growing: The Power of a Little LAG.

Stefani Karp, Nikunj Saunshi, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar

CoRR, 2024

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs.

Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Applying statistical learning theory to deep learning.

Cédric Gerbelot, Avetik Karagulyan, Stefani Karp, Kavya Ravichandran, Menachem Stern, Nathan Srebro

CoRR, 2023

Efficient Training of Language Models using Few-Shot Learning.

Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar

Proceedings of the International Conference on Machine Learning, 2023

2022

Agnostic Learnability of Halfspaces via Logistic Loss.

Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp

Proceedings of the International Conference on Machine Learning, 2022

2021

Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels.

Stefani Karp, Ezra Winston, Yuanzhi Li, Aarti Singh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

PAC-Bayes Learning Bounds for Sample-Dependent Priors.

Pranjal Awasthi, Satyen Kale, Stefani Karp, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020