Benjamin L. Edelman

According to our database, Benjamin L. Edelman authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Transcendence: Generative Models Can Outperform The Experts That Train Them.

Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach

CoRR, 2024

Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger

CoRR, 2024

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains.

Benjamin L. Edelman, Ezra Edelman, Surbhi Goel, Eran Malach, Nikolaos Tsilivis

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Distinguishing the Knowable from the Unknowable with Language Models.

Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feature emergence via margin maximization: case studies in algebraic tasks.

Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models.

Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak

IACR Cryptol. ePrint Arch., 2023

Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck.

Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang

CoRR, 2023

Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck.

Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit.

Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inductive Biases and Variable Creation in Self-Attention Mechanisms.

Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

The multiplayer Colonel Blotto game.

Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti

Games Econ. Behav., 2021

2020

Learning From Strategic Agents: Accuracy, Improvement, and Causality.

Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod

CoRR, 2020

Causal Strategic Linear Regression.

Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Matrix Rigidity and the Croot-Lev-Pach Lemma.

Zeev Dvir, Benjamin L. Edelman

Theory Comput., 2019

SGD on Neural Networks Learns Functions of Increasing Complexity.

Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019