Elina Robeva

1. Third-Order Moment Varieties of Linear Non-Gaussian Graphical Models
   2021/12/20 by Carlos Améndola, Améndola, Carlos, Mathias Drton +7 · 3 citations
   Chemistry · Computer Science · #Algebraic Geometry (math.AG) #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Mathematics #Molecular spectroscopy and chirality #Statistics Theory (math.ST)
2. Orthogonal and unitary tensor decomposition from an algebraic\n perspective
   2015/12/25 by Ada Boralevi, Boralevi, Ada, Jan Draisma +5 · 1 citation
   Computer Science · Mathematics · #Algebraic Geometry (math.AG) #FOS: Mathematics #Matrix Theory and Algorithms #Polynomial and algebraic computation #Tensor decomposition and applications
3. Causal Structure Learning in Directed, Possibly Cyclic, Graphical Models
   2023/05/10 by Pardis Semnani, Semnani, Pardis, Elina Robeva +1 · 3 citations
   Computer Science · #05C20 (Secondary) #62D20 (Primary) #62H22 #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Combinatorics (math.CO) #FOS: Mathematics #Machine Learning and Algorithms #Statistics Theory (math.ST)
4. Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
   2024/10/30 by Vincent Guan, Guan, Vincent, Joseph Janssen +11 · 5 citations
   Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
5. Multivariate Super-Resolution without Separation
   2022/10/18 by Bakytzhan Kurmanbek, Elina Robeva, Kurmanbek, Bakytzhan +1 · 1 citation
   Computer Science · Engineering · #Advanced Image Processing Techniques #Image and Signal Denoising Methods #Sparse and Compressive Sensing Techniques
6. Learning Linear Non-Gaussian Graphical Models with Multidirected Edges
   2020/10/11 by Yiheng Liu, Elina Robeva, Liu, Yiheng +3 · 1 citation
   Computer Science · #62H22 #62J99 #62R01 #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
7. Determinantal Generalizations of Instrumental Variables
   2017/02/13 by Luca Weihs, Bill Robinson, Weihs, Luca +15 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #Data Management and Algorithms #FOS: Mathematics #Statistics Theory (math.ST)