Karp, Stefani

7 publications

NeurIPS 2024 On the Inductive Bias of Stacking Towards Improving Reasoning Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar

ICLR 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

ICML 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

NeurIPSW 2023 Learning from Setbacks: The Impact of Adversarial Initialization on Generalization Performance Kavya Ravichandran, Yatin Dandi, Stefani Karp, Francesca Mignacco

ICML 2022 Agnostic Learnability of Halfspaces via Logistic Loss Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp

NeurIPS 2021 Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels Stefani Karp, Ezra Winston, Yuanzhi Li, Aarti Singh

NeurIPS 2020 PAC-Bayes Learning Bounds for Sample-Dependent Priors Pranjal Awasthi, Satyen Kale, Stefani Karp, Mehryar Mohri