Sen, Subhabrata
- Contextual Stochastic Block Models
2018/07/23 by Yash Deshpande, Deshpande, Yash, Andrea Montanari +5 · 19 citations
Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference
- Limits of Sparse Configuration Models and Beyond: Graphexes and Multi-Graphexes
2019/07/02 by Christian Borgs, Borgs, Christian, Jennifer Chayes +5 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Mathematics #Probability (math.PR) #Stochastic processes and statistical mechanics
- Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices
2022/08/04 by Rishabh Dudeja, Dudeja, Rishabh, Subhabrata Sen +3 · 5 citations
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Numerical methods in inverse problems #Distributed Sensor Networks and Detection Algorithms
- Long ties accelerate noisy threshold-based contagions
2018/10/08 by Dean Eckles, Eckles, Dean, Elchanan Mossel +5 · 2 citations
Decision Sciences · Physics and Astronomy · #05C80 #91D30 #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Game Theory and Applications #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Probability (math.PR) #Social and Information Networks (cs.SI)
- Variational Inference in high-dimensional linear regression
2021/04/25 by Mukherjee, Sumit, Sen, Subhabrata · 2 citations
#62F15 #62F99 #62J05 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Probability (math.PR) #Statistics Theory (math.ST)
- A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
2022/04/06 by Montanari, Andrea, Sen, Subhabrata · 2 citations
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Mathematics #FOS: Physical sciences #Probability (math.PR) #Statistics Theory (math.ST)
- Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature
2022/12/20 by Yufan Li, Li, Yufan, Fan, Zhou +4 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Mathematical Physics (math-ph) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Large deviation for uniform graphs with given degrees
2019/04/16 by Dhara, Souvik, Sen, Subhabrata · 1 citation
#05C80 #60510 #60C05 #FOS: Mathematics #Probability (math.PR)
- A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond
2022/05/20 by Kuanhao Jiang, Rajarshi Mukherjee, Jiang, Kuanhao +5 · 2 citations
Mathematics · #Advanced Causal Inference Techniques #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- The TAP free energy for high-dimensional linear regression
2022/03/14 by Qiu, Jiaze, Sen, Subhabrata · 1 citation
#60F99 #62C10 #82B44 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Probability (math.PR) #Statistics Theory (math.ST)
- Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
2024/01/16 by Yang, Xiaodong, Lin, Buyu, Sen, Subhabrata · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Probability (math.PR) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
- Causal effect estimation under network interference with mean-field methods
2024/07/28 by Sohom Bhattacharya, Bhattacharya, Sohom, Subhabrata Sen +1 · 2 citations
Computer Science · #Distributed Sensor Networks and Detection Algorithms
- Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
2025/02/24 by Jones-McCormick, Taj, Jagannath, Aukosh, Sen, Subhabrata · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)