48 citations · 102 across the 15 of their papers we have counts for
4 papers · 1 filter
Constant Approximation for Individual Preference Stable Clustering
Anders Aamand, Justin Y. Chen, Allen Liu +4
Individual preference (IP) stability, introduced by Ahmadi et al. (ICML 2022), is a natural clustering objective inspired by stability and fairness constraints. A clustering is …
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang, Neel Nanda
Mechanistic interpretability seeks to understand the internal mechanisms of machine learning models, where localization -- identifying the important model components -- is a key st…
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff +3
We study dynamic algorithms robust to adaptive input generated from sources with bounded capabilities, such as sparsity or limited interaction. For example, we consider robust line…
Streaming Algorithms for Learning with Experts: Deterministic Versus Robust
David P. Woodruff, Fred Zhang, Samson Zhou
In the online learning with experts problem, an algorithm must make a prediction about an outcome on each of days (or times), given a set of experts who make predictions on…