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Jun S. Liu

Identifiers

  • name variant Jun S. Liu 0.60 · backfill

Papers (28)

  1. GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance cs.CV · 2026 · author #5
  2. PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control stat.ME · 2026 · author #3
  3. Tuning free Catoni type joint robust estimation math.ST · 2025 · author #2
  4. Generative Parameter Sampler For Scalable Uncertainty Quantification cs.LG · 2019 · author #3
  5. Bayesian Hidden Markov Tree Models for Clustering Genes with Shared Evolutionary History stat.AP · 2018 · author #5
  6. Randomization Inference for Peer Effects stat.ME · 2018 · author #5
  7. Global testing under the sparse alternatives for single index models math.ST · 2018 · author #3
  8. On the optimality of sliced inverse regression in high dimensions math.ST · 2017 · author #4
  9. Robust Variable and Interaction Selection for Logistic Regression and Multiple Index Models stat.ME · 2016 · author #2
  10. Sparse Sliced Inverse Regression Via Lasso math.ST · 2016 · author #3
  11. Generalized R-squared for Detecting Dependence stat.ME · 2016 · author #3
  12. L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs math.ST · 2015 · author #2
  13. Signed Support Recovery for Single Index Models in High-Dimensions math.ST · 2015 · author #3
  14. A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations math.ST · 2015 · author #3
  15. Fast Parameter Estimation in Loss Tomography for Networks of General Topology stat.ME · 2015 · author #4
  16. On consistency and sparsity for sliced inverse regression in high dimensions math.ST · 2015 · author #3
  17. Locally weighted Markov chain Monte Carlo stat.CO · 2015 · author #5
  18. Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests stat.ML · 2015 · author #3
  19. Bayesian nonparametric tests via sliced inverse modeling stat.ME · 2014 · author #3
  20. Variable selection for general index models via sliced inverse regression stat.ME · 2013 · author #2
  21. Lookahead Strategies for Sequential Monte Carlo stat.ME · 2013 · author #3
  22. Block-based Bayesian epistasis association mapping with application to WTCCC type 1 diabetes data stat.AP · 2011 · author #3
  23. The EM Algorithm and the Rise of Computational Biology stat.ME · 2011 · author #3
  24. Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle stat.AP · 2010 · author #3
  25. Model Selection Principles in Misspecified Models math.ST · 2010 · author #2
  26. Doubly stochastic continuous-time hidden Markov approach for analyzing genome tiling arrays stat.AP · 2009 · author #3
  27. Discussion of "Equi-energy sampler" by Kou, Zhou and Wong math.ST · 2006 · author #2
  28. Bayesian Clustering of Transcription Factor Binding Motifs math.ST · 2006 · author #2

Mentions

  • 1510.07158 #4 · backfill · confidence 0.70 Jun S. Liu
  • 1507.03895 #3 · backfill · confidence 0.70 Jun S. Liu
  • 1506.08852 #5 · backfill · confidence 0.70 Jun S. Liu
  • 1506.02371 #3 · backfill · confidence 0.70 Jun S. Liu
  • 2606.03119 #5 · arxiv_oai · confidence 0.70 Jun S. Liu
  • 1411.3070 #3 · backfill · confidence 0.70 Jun S. Liu
  • 1304.4056 #2 · backfill · confidence 0.70 Jun S. Liu
  • 1302.5206 #3 · backfill · confidence 0.70 Jun S. Liu
  • 1111.5972 #3 · backfill · confidence 0.70 Jun S. Liu
  • 1104.2180 #3 · backfill · confidence 0.70 Jun S. Liu
  • 2511.11054 #2 · arxiv_oai · confidence 0.70 Jun S. Liu
  • 1011.2104 #3 · backfill · confidence 0.70 Jun S. Liu
  • 1005.5483 #2 · backfill · confidence 0.70 Jun S. Liu
  • 0910.2090 #3 · backfill · confidence 0.70 Jun S. Liu

Frequent Coauthors