From the 1 of 4 linked papers with an AI index.
4 papers
Spectral Dual Fitting for -Means
Aditya Anand, Moses Charikar, Vincent Cohen-Addad +5
The paper introduces a new dual‑fitting algorithm that achieves better approximation ratios for the k‑means clustering problem in both Euclidean and general metric spaces, using a…
An Improved Greedy Approximation for (Metric) -Means
Moses Charikar, Vincent Cohen-Addad, Ruiquan Gao +3
Clustering is a basic task in data analysis and machine learning, and the optimization of clustering objectives are well-studied optimization problems; amongst these, the -Means…
Correlation Clustering Beyond the Pivot Algorithm
Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad +2
We study the classic correlation clustering in the dynamic setting. Given objects and a complete labeling of the object-pairs as either similar or dissimilar, the goal is to pa…
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
Recent advances in large language models have shown capabilities that are extraordinary and near-superhuman. These models operate with such complexity that reliably evaluating and…