Benjamin L. Edelman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Role Playing Game

Generative Model

Top Venues

Games Econ. Behav.

Publications

Benjamin L. Edelman, Ezra Edelman, Surbhi Goel, Eran Malach, Nikolaos Tsilivis
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains. CoRR (2024)
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
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR (2024)
Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
Transcendence: Generative Models Can Outperform The Experts That Train Them. CoRR (2024)
Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman
Distinguishing the Knowable from the Unknowable with Language Models. CoRR (2024)
Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade
Feature emergence via margin maximization: case studies in algebraic tasks. ICLR (2024)
Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck. NeurIPS (2023)
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models. IACR Cryptol. ePrint Arch. 2023 (2023)
Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade
Feature emergence via margin maximization: case studies in algebraic tasks. CoRR (2023)
Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck. CoRR (2023)
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models. CoRR (2023)
Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang
Inductive Biases and Variable Creation in Self-Attention Mechanisms. ICML (2022)
Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit. CoRR (2022)
Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit. NeurIPS (2022)
Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti
The multiplayer Colonel Blotto game. Games Econ. Behav. 129 (2021)
Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang
Inductive Biases and Variable Creation in Self-Attention Mechanisms. CoRR (2021)
Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod
Learning From Strategic Agents: Accuracy, Improvement, and Causality. CoRR (2020)
Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti
The Multiplayer Colonel Blotto Game. EC (2020)
Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti
The Multiplayer Colonel Blotto Game. CoRR (2020)
Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod
Causal Strategic Linear Regression. ICML (2020)
Zeev Dvir, Benjamin L. Edelman
Matrix Rigidity and the Croot-Lev-Pach Lemma. Theory Comput. 15 (2019)
Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
SGD on Neural Networks Learns Functions of Increasing Complexity. CoRR (2019)
Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran, Benjamin L. Edelman, Tristan Yang, Boaz Barak, Haofeng Zhang
SGD on Neural Networks Learns Functions of Increasing Complexity. NeurIPS (2019)
Zeev Dvir, Benjamin L. Edelman
Matrix rigidity and the Croot-Lev-Pach lemma. CoRR (2017)