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Hero, Alfred O.

  1. Scalable Mutual Information Estimation using Dependence Graphs
    2018/01/27 by Noshad, Morteza, Zeng, Yu, Hero, Alfred O. · 5 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML)
  2. Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications
    2017/10/21 by Sijia Liu, Liu, Sijia, Jie Chen +5 · 8 citations
    Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Antenna Design and Optimization #Direction-of-Arrival Estimation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  3. Large Scale Correlation Screening
    2011/02/06 by Alfred O. Hero, Hero, Alfred O., Bala Rajaratnam +1 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (stat.ML) #Statistical Methods and Inference
  4. Learning to Bound the Multi-class Bayes Error
    2018/11/15 by Sekeh, Salimeh Yasaei, Oselio, Brandon, Hero, Alfred O. · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  5. High dimensional stochastic linear contextual bandit with missing covariates
    2022/07/22 by Byoungwook Jang, Jang, Byoungwook, Julia F. Nepper +7 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  6. Regularized Least-Mean-Square Algorithms
    2010/12/22 by Chen, Yilun, Gu, Yuantao, Hero, Alfred O. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  7. Node Removal Vulnerability of the Largest Component of a Network
    2014/03/09 by Chen, Pin-Yu, Hero, Alfred O. · 1 citation
    #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Social and Information Networks (cs.SI)
  8. Empirically Estimable Classification Bounds Based on a New Divergence Measure
    2014/12/19 by Visar Berisha, Berisha, Visar, Alan Wisler +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
  9. Phase Transitions in Spectral Community Detection of Large Noisy Networks
    2015/04/09 by Chen, Pin-Yu, Hero, Alfred O. · 1 citation
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an)
  10. Ensemble Estimation of Distributional Functionals via k-Nearest Neighbors
    2017/07/10 by Kevin R. Moon, Moon, Kevin R., Kumar Sricharan +3 · 2 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Information Theory (cs.IT) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  11. Quickest Detection for Changes in Maximal kNN Coherence of Random\n Matrices
    2015/08/19 by Taposh Banerjee, Banerjee, Taposh, Hamed Firouzi +3 · 1 citation
    Mathematics · Medicine · #Data-Driven Disease Surveillance #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Probability (math.PR) #Random Matrices and Applications #Statistical Methods and Inference #Statistics Theory (math.ST)
  12. Rate-optimal Meta Learning of Classification Error
    2017/10/31 by Morteza Noshad Iranzad, Iranzad, Morteza Noshad, Alfred O. Hero +1 · 1 citation
    Computer Science · #Distributed Sensor Networks and Detection Algorithms #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  13. Ensemble estimators for multivariate entropy estimation
    2012/03/26 by Kumar Sricharan, Dennis Wei, Sricharan, Kumar +3 · 1 citation
    Computer Science · Engineering · Decision Sciences · #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research
  14. Fair Community Detection and Structure Learning in Heterogeneous Graphical Models
    2021/12/09 by Davoud Ataee Tarzanagh, Tarzanagh, Davoud Ataee, Laura Balzano +3 · 1 citation
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  15. Graph Sparsification by Approximate Matrix Multiplication
    2023/04/17 by Charalambides, Neophytos, Hero, Alfred O. · 1 citation
    #05C50 #05C85 #05C90 #65F50 65F50 #65F55 #68W20 #68W25 #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #F.2.1 #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #G.1.2 #G.1.3 #G.2.2 #G.3 #Numerical Analysis (math.NA) #Signal Processing (eess.SP) #Spectral Theory (math.SP) #electronic engineering #information engineering