Benjamin L. Edelman

Orcid: 0000-0003-0573-2836

Affiliations:
  • Harvard University, Cambridge, MA, USA


According to our database1, Benjamin L. Edelman authored at least 16 papers between 2019 and 2024.

Collaborative distances:

Timeline

2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
1
2
1
1
1
5
1
2
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Foundational Challenges in Assuring Alignment and Safety of Large Language Models.
CoRR, 2024

Transcendence: Generative Models Can Outperform The Experts That Train Them.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Distinguishing the Knowable from the Unknowable with Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feature emergence via margin maximization: case studies in algebraic tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models.
IACR Cryptol. ePrint Arch., 2023

Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck.
CoRR, 2023

Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
The multiplayer Colonel Blotto game.
Games Econ. Behav., 2021

2020
Learning From Strategic Agents: Accuracy, Improvement, and Causality.
CoRR, 2020

Causal Strategic Linear Regression.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Matrix Rigidity and the Croot-Lev-Pach Lemma.
Theory Comput., 2019

SGD on Neural Networks Learns Functions of Increasing Complexity.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


  Loading...