Sussman, Daniel L.

1. A consistent adjacency spectral embedding for stochastic blockmodel graphs
   2011/08/10 by Sussman, Daniel L., Tang, Minh, Fishkind, Donniell E. +1 · 9 citations
   #FOS: Computer and information sciences #Machine Learning (stat.ML)
2. Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
   2012/07/29 by Sussman, Daniel L., Tang, Minh, Priebe, Carey E. · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
3. Elements of estimation theory for causal effects in the presence of network interference
   2017/02/12 by Sussman, Daniel L., Airoldi, Edoardo M. · 2 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
4. Spectral Clustering for Divide-and-Conquer Graph Matching
   2013/10/04 by Lyzinski, Vince, Sussman, Daniel L., Fishkind, Donniell E. +5 · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)
5. Bias-Variance Tradeoffs in Joint Spectral Embeddings
   2020/05/05 by Benjamin Draves, Daniel L. Sussman, Draves, Benjamin +1 · 1 citation
   Neuroscience · Physics and Astronomy · Psychology · #05C80 #62H12 #62H15 #Complex Network Analysis Techniques #FOS: Mathematics #Functional Brain Connectivity Studies #Mental Health Research Topics #Statistics Theory (math.ST)
6. Causal Inference under Network Interference with Noise
   2021/05/10 by Li, Wenrui, Sussman, Daniel L., Kolaczyk, Eric D. · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
7. Statistical inference on errorfully observed graphs
   2012/11/15 by Carey E. Priebe, Priebe, Carey E., Daniel L. Sussman +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Statistical Methods and Inference
8. Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
   2018/12/26 by Arroyo, Jesús, Sussman, Daniel L., Priebe, Carey E. +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
9. A nonparametric two-sample hypothesis testing problem for random dot product graphs
   2014/09/08 by Minh Tang, Tang, Minh, Avanti Athreya +7 · 2 citations
   Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Bayesian Modeling and Causal Inference #Advanced Clustering Algorithms Research