Kandiros, Anthimos Vardis
- Learning Hard-Constrained Models with One Sample
2023/11/06 by Andreas Galanis, Alkis Kalavasis, Galanis, Andreas +3 · 4 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
- Statistical Estimation from Dependent Data
2021/07/20 by Dagan, Yuval, Daskalakis, Constantinos, Dikkala, Nishanth +2 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- On Sampling from Ising Models with Spectral Constraints
2024/07/10 by Galanis, Andreas, Kalavasis, Alkis, Kandiros, Anthimos Vardis · 2 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Probability (math.PR)
- Learning and Testing Latent-Tree Ising Models Efficiently
2022/11/23 by Davin Choo, Choo, Davin, Yuval Dagan +5 · 1 citation
Agricultural and Biological Sciences · Computer Science · #Bayesian Modeling and Causal Inference #Data Analysis with R #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Plant and animal studies #Probability (math.PR) #Statistics Theory (math.ST)