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Ali Shojaie

Identifiers

  • name variant Ali Shojaie 0.60 · backfill

Papers (30)

  1. High-Dimensional Statistics: Reflections on Progress and Open Problems math.ST · 2026 · author #12
  2. A general nonparametric framework for testing hypotheses about function-valued parameters stat.ME · 2026 · author #2
  3. Integer Programming for Learning Directed Acyclic Graphs from Continuous Data cs.LG · 2019 · author #3
  4. Generalized Sparse Additive Models stat.ME · 2019 · author #3
  5. Wavelet regression and additive models for irregularly spaced data stat.ML · 2019 · author #3
  6. Generalized Score Matching for Non-Negative Data stat.ML · 2018 · author #3
  7. Graphical Models for Non-Negative Data Using Generalized Score Matching stat.ME · 2018 · author #3
  8. An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series stat.ML · 2017 · author #3
  9. An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery stat.ML · 2017 · author #4
  10. Joint Structural Break Detection and Parameter Estimation in High-Dimensional Non-Stationary VAR Models stat.ME · 2017 · author #2
  11. Structural Break Detection in High-Dimensional Non-Stationary VAR models stat.ME · 2017 · author #2
  12. The Multivariate Hawkes Process in High Dimensions: Beyond Mutual Excitation stat.ME · 2017 · author #2
  13. Granger Causality Networks for Categorical Time Series stat.ME · 2017 · author #3
  14. Identifiability and Estimation of Structural Vector Autoregressive Models for Subsampled and Mixed Frequency Time Series stat.ME · 2017 · author #3
  15. Nonparametric Regression with Adaptive Truncation via a Convex Hierarchical Penalty stat.ME · 2016 · author #2
  16. Network Reconstruction From High Dimensional Ordinary Differential Equations stat.ME · 2016 · author #2
  17. A Generalized Benjamini-Hochberg Procedure for Multivariate Hypothesis Testing stat.ME · 2016 · author #3
  18. Joint Estimation of Precision Matrices in Heterogeneous Populations stat.ML · 2016 · author #2
  19. Kernel-Penalized Regression for Analysis of Microbiome Data stat.AP · 2015 · author #5
  20. Estimation of High-Dimensional Graphical Models Using Regularized Score Matching stat.ME · 2015 · author #3
  21. A Significance Test for Graph-Constrained Estimation stat.ME · 2015 · author #2
  22. Network-Based Pathway Enrichment Analysis with Incomplete Network Information stat.ME · 2014 · author #2
  23. Inference in High Dimensions with the Penalized Score Test stat.ME · 2014 · author #2
  24. Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles stat.ML · 2013 · author #1
  25. Selection and Estimation for Mixed Graphical Models stat.ME · 2013 · author #3
  26. The Cluster Graphical Lasso for improved estimation of Gaussian graphical models stat.ML · 2013 · author #3
  27. Graph estimation with joint additive models stat.ME · 2013 · author #2
  28. Network Granger Causality with Inherent Grouping Structure stat.ME · 2012 · author #2
  29. Discovering Graphical Granger Causality Using the Truncating Lasso Penalty stat.ML · 2010 · author #1
  30. Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs stat.ML · 2009 · author #1

Mentions

  • 2605.05076 #12 · arxiv_oai · confidence 0.70 Ali Shojaie
  • 1210.3711 #2 · backfill · confidence 0.70 Ali Shojaie
  • 1007.0499 #1 · backfill · confidence 0.70 Ali Shojaie
  • 0911.5439 #1 · backfill · confidence 0.70 Ali Shojaie

Frequent Coauthors