Linderman, George C.

1. Clustering with t-SNE, provably
   2017/06/08 by Linderman, George C., Steinerberger, Stefan · 8 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science
   2017/11/13 by Linderman, George C., Mishne, Gal, Kluger, Yuval +1 · 1 citation
   #Combinatorics (math.CO) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Probability (math.PR)
3. Regression-based proximal causal inference for right-censored time-to-event data
   2024/09/13 by Kendrick Li, George C. Linderman, Li, Kendrick +5 · 1 voice · 1 citation
   Chemistry · Mathematics · #Advanced Causal Inference Techniques #Electrochemical Analysis and Applications #Statistical Methods and Inference #stat.ME
4. Numerical Integration on Graphs: where to sample and how to weigh
   2018/03/19 by Linderman, George C., Steinerberger, Stefan · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistics Theory (math.ST)