Barak, Boaz

16 publications

JMLR 2025 Scaling Data-Constrained Language Models Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel

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

ICML 2024 Distinguishing the Knowable from the Unknowable with Language Models Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman

ICLRW 2024 Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak

ICML 2024 Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak

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

TMLR 2023 Named Tensor Notation David Chiang, Alexander M Rush, Boaz Barak

ICML 2023 On Provable Copyright Protection for Generative Models Nikhil Vyas, Sham M. Kakade, Boaz Barak

NeurIPS 2023 Scaling Data-Constrained Language Models Niklas Muennighoff, Alexander Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin A Raffel

NeurIPS 2022 Hidden Progress in Deep Learning: SGD Learns Parities near the Computational Limit Boaz Barak, Benjamin Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang

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

NeurIPS 2021 Revisiting Model Stitching to Compare Neural Representations Yamini Bansal, Preetum Nakkiran, 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

NeurIPS 2019 (Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs Boaz Barak, Chi-Ning Chou, Zhixian Lei, Tselil Schramm, Yueqi Sheng

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

COLT 2016 Noisy Tensor Completion via the Sum-of-Squares Hierarchy Boaz Barak, Ankur Moitra