SGD on Neural Networks Learns Functions of Increasing Complexity. - Preetum Nakkiran; Gal Kaplun; Dimitris Kalimeris; Tristan Yang; Benjamin L. Edelman; Fred Zhang; Boaz Barak (NeurIPS, 2019)

Matrix Rigidity and the Croot-Lev-Pach Lemma. - Zeev Dvir; Benjamin L. Edelman (Theory Comput., 2019)

Causal Strategic Linear Regression. - Yonadav Shavit; Benjamin L. Edelman; Brian Axelrod (ICML, 2020)

Learning From Strategic Agents: Accuracy, Improvement, and Causality. - Yonadav Shavit; Benjamin L. Edelman; Brian Axelrod (CoRR, 2020)

The multiplayer Colonel Blotto game. - Enric Boix-Adserà; Benjamin L. Edelman; Siddhartha Jayanti (Games Econ. Behav., 2021)

Inductive Biases and Variable Creation in Self-Attention Mechanisms. - Benjamin L. Edelman; Surbhi Goel; Sham M. Kakade; Cyril Zhang (ICML, 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 (NeurIPS, 2022)

Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck. - Benjamin L. Edelman; Surbhi Goel; Sham M. Kakade; Eran Malach; Cyril Zhang (NeurIPS, 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)

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models. - Hanlin Zhang 002; Benjamin L. Edelman; Danilo Francati; Daniele Venturi 001; Giuseppe Ateniese; Boaz Barak (IACR Cryptol. ePrint Arch., 2023)

Feature emergence via margin maximization: case studies in algebraic tasks. - Depen Morwani; Benjamin L. Edelman; Costin-Andrei Oncescu; Rosie Zhao; Sham M. Kakade (ICLR, 2024)

Distinguishing the Knowable from the Unknowable with Language Models. - Gustaf Ahdritz; Tian Qin; Nikhil Vyas 001; Boaz Barak; Benjamin L. Edelman (ICML, 2024)

Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models. - Hanlin Zhang 002; Benjamin L. Edelman; Danilo Francati; Daniele Venturi 001; Giuseppe Ateniese; Boaz Barak (ICML, 2024)

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains. - Ezra Edelman; Nikolaos Tsilivis 002; Benjamin L. Edelman; Eran Malach; Surbhi Goel (NeurIPS, 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 (NeurIPS, 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; et al. (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; et al. (Trans. Mach. Learn. Res., 2024)