Kaplun, Gal

7 publications

ICML 2024 Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak

ICLR 2023 Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran

NeurIPS 2022 Knowledge Distillation: Bad Models Can Be Good Role Models Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz

ICLR 2021 For Self-Supervised Learning, Rationality Implies Generalization, Provably Yamini Bansal, Gal Kaplun, Boaz Barak

ICLR 2020 Deep Double Descent: Where Bigger Models and More Data Hurt Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever

ICML 2019 Robust Influence Maximization for Hyperparametric Models Dimitris Kalimeris, Gal Kaplun, Yaron Singer

NeurIPS 2019 SGD on Neural Networks Learns Functions of Increasing Complexity Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran, Benjamin Edelman, Tristan Yang, Boaz Barak, Haofeng Zhang