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George Michailidis

Identifiers

  • name variant George Michailidis 0.60 · backfill

Papers (56)

  1. Equilibrium and Pricing in Consumer Networks with Nonlinear Utilities: An Online Shape-Constrained Learning Approach math.ST · 2026 · author #2
  2. Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization cs.LG · 2025 · author #5
  3. Analyses of Multi-collection Corpora via Compound Topic Modeling cs.IR · 2019 · author #3
  4. Online Distributed Estimation of Principal Eigenspaces stat.ML · 2019 · author #3
  5. Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems cs.SY · 2019 · author #3
  6. Change Point Estimation in Panel Data with Temporal and Cross-sectional Dependence math.ST · 2019 · author #3
  7. On Applications of Bootstrap in Continuous Space Reinforcement Learning cs.LG · 2019 · author #3
  8. Estimation of Gaussian directed acyclic graphs using partial ordering information with an application to dairy cattle data stat.AP · 2019 · author #3
  9. A Bayesian Approach to Joint Estimation of Multiple Graphical Models stat.ME · 2019 · author #3
  10. DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization cs.LG · 2019 · author #3
  11. Low Rank and Structured Modeling of High-dimensional Vector Autoregressions stat.ME · 2018 · author #3
  12. Finite Time Adaptive Stabilization of LQ Systems cs.SY · 2018 · author #3
  13. Sequential change-point detection in high-dimensional Gaussian graphical models stat.ML · 2018 · author #2
  14. Optimism-Based Adaptive Regulation of Linear-Quadratic Systems cs.SY · 2017 · author #3
  15. Finite Time Identification in Unstable Linear Systems cs.SY · 2017 · author #3
  16. Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models stat.ME · 2017 · author #2
  17. Common change point estimation in panel data from the least squares and maximum likelihood viewpoints math.ST · 2017 · author #3
  18. Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data cs.DS · 2017 · author #2
  19. Likelihood Inference for Large Scale Stochastic Blockmodels with Covariates based on a Divide-and-Conquer Parallelizable Algorithm with Communication stat.CO · 2016 · author #3
  20. Estimation of Graphical Models through Structured Norm Minimization math.OC · 2016 · author #2
  21. Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models stat.ME · 2016 · author #4
  22. Estimating heterogeneous graphical models for discrete data with an application to roll call voting stat.AP · 2015 · author #4
  23. AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis and Forensics of Multi-gigabit Streams cs.NI · 2015 · author #4
  24. Analysis of multiview legislative networks with structured matrix factorization: Does Twitter influence translate to the real world? cs.SI · 2015 · author #2
  25. Optimality of Fast Matching Algorithms for Random Networks with Applications to Structural Controllability cs.DS · 2015 · author #3
  26. Hashing Pursuit for Online Identification of Heavy-Hitters in High-Speed Network Streams cs.CR · 2014 · author #3
  27. Network-Based Pathway Enrichment Analysis with Incomplete Network Information stat.ME · 2014 · author #3
  28. Measuring Influence in Twitter Ecosystems using a Counting Process Modeling Framework cs.SI · 2014 · author #3
  29. Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees math.OC · 2014 · author #2
  30. Electric Power Allocation in a Network of Fast Charging Stations math.OC · 2014 · author #2
  31. Change-Point Estimation in High-Dimensional Markov Random Field Models stat.ME · 2014 · author #3
  32. M-estimation in multistage sampling procedures stat.ME · 2014 · author #3
  33. Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles stat.ML · 2013 · author #4
  34. Regularized estimation in sparse high-dimensional time series models math.ST · 2013 · author #2
  35. A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling cs.SY · 2013 · author #3
  36. Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization cs.SI · 2013 · author #2
  37. Two-Stage Plans for Estimating a Threshold Value of a Regression Function stat.ME · 2013 · author #3
  38. Socially optimal charging strategies for electric vehicles math.OC · 2013 · author #2
  39. Network Granger Causality with Inherent Grouping Structure stat.ME · 2012 · author #3
  40. Efficient Approximation Algorithms for Optimal Large-scale Network Monitoring cs.DS · 2012 · author #3
  41. Fast Approximation Algorithms for Near-optimal Large-scale Network Monitoring cs.DS · 2011 · author #3
  42. Threshold estimation based on a p-value framework in dose-response and regression settings stat.ME · 2011 · author #4
  43. A two-stage hybrid procedure for estimating an inverse regression function math.ST · 2011 · author #3
  44. Cone Schedules for Processing Systems in Fluctuating Environments cs.NI · 2011 · author #3
  45. Optimal experiment design in a filtering context with application to sampled network data stat.AP · 2010 · author #2
  46. Discovering Graphical Granger Causality Using the Truncating Lasso Penalty stat.ML · 2010 · author #2
  47. Network-wide Statistical Modeling and Prediction of Computer Traffic stat.AP · 2010 · author #3
  48. On the estimation of the extremal index based on scaling and resampling stat.ME · 2010 · author #3
  49. Global Modeling and Prediction of Computer Network Traffic cs.NI · 2010 · author #2
  50. On the Estimation of the Heavy-Tail Exponent in Time Series using the Max-Spectrum stat.ME · 2010 · author #2
  51. Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs stat.ML · 2009 · author #2
  52. Change-point estimation under adaptive sampling math.ST · 2009 · author #3
  53. On multi-view learning with additive models stat.AP · 2009 · author #2
  54. Statistical inverse problems in active network tomography stat.ME · 2007 · author #2
  55. Comment: Monitoring Networked Applications With Incremental Quantile Estimation stat.ME · 2007 · author #2
  56. Estimating heavy-tail exponents through max self-similarity math.ST · 2006 · author #2

Mentions

  • 1412.6148 #3 · backfill · confidence 0.70 George Michailidis
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  • 2511.01126 #5 · arxiv_oai · confidence 0.70 George Michailidis
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Frequent Coauthors