1 citations · 1 across the 3 of their papers we have counts for
3 papers
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis, Natalie Frank, Nathan Srebro +1
We study the implicit bias of optimization in robust empirical risk minimization (robust ERM) and its connection with robust generalization. In classification settings under advers…
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis +1
Adversarial examples have been shown to cause neural networks to fail on a wide range of vision and language tasks, but recent work has claimed that Bayesian neural networks (BNNs)…
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Benjamin L. Edelman, Ezra Edelman, Surbhi Goel +2
Large language models have the ability to generate text that mimics patterns in their inputs. We introduce a simple Markov Chain sequence modeling task in order to study how this i…