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Jacob Bien

Identifiers

  • name variant Jacob Bien 0.60 · backfill

Papers (44)

  1. Confidence Calibration in Large Language Models cs.AI · 2026 · author #3
  2. Reluctant Interaction Inference after Additive Modeling stat.ME · 2025 · author #4
  3. Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data stat.ME · 2025 · author #4
  4. Semi-Supervised Learning of Noisy Mixture of Experts Models stat.ME · 2024 · author #3
  5. Discussion of "Data fission: splitting a single data point" stat.ME · 2024 · author #5
  6. Inference on the proportion of variance explained in principal component analysis stat.ME · 2024 · author #3
  7. Generative AI for Data Science 101: Coding Without Learning To Code stat.OT · 2024 · author #1
  8. Predicting Rare Events by Shrinking Towards Proportional Odds stat.ME · 2023 · author #2
  9. Inferring independent sets of Gaussian variables after thresholding correlations stat.ME · 2022 · author #3
  10. Prediction Sets for High-Dimensional Mixture of Experts Models math.ST · 2022 · author #3
  11. Interactive Exploration of Large Dendrograms with Prototypes stat.OT · 2022 · author #2
  12. Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States stat.ME · 2022 · author #3
  13. Cluster Stability Selection stat.ME · 2022 · author #2
  14. Ocean Mover's Distance: Using Optimal Transport for Analyzing Oceanographic Data stat.AP · 2021 · author #11
  15. Controlling the False Split Rate in Tree-Based Aggregation stat.ME · 2021 · author #2
  16. Tree-based Node Aggregation in Sparse Graphical Models stat.ME · 2021 · author #2
  17. Selective Inference for Hierarchical Clustering stat.ME · 2020 · author #2
  18. Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions stat.AP · 2020 · author #4
  19. Controlling Costs: Feature Selection on a Budget stat.ME · 2019 · author #3
  20. Testing for Association in Multi-View Network Data stat.ME · 2019 · author #3
  21. Reluctant Interaction Modeling stat.ME · 2019 · author #2
  22. Are Clusterings of Multiple Data Views Independent? stat.ME · 2019 · author #2
  23. Rare Feature Selection in High Dimensions stat.ME · 2018 · author #2
  24. Prediction Error Bounds for Linear Regression With the TREX math.ST · 2018 · author #1
  25. Estimating the error variance in a high-dimensional linear model stat.ME · 2017 · author #2
  26. Valid Inference Corrected for Outlier Removal stat.ME · 2017 · author #2
  27. Interpretable Vector AutoRegressions with Exogenous Time Series stat.ML · 2017 · author #3
  28. Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages stat.ME · 2017 · author #3
  29. BigVAR: Tools for Modeling Sparse High-Dimensional Multivariate Time Series stat.CO · 2017 · author #3
  30. The Simulator: An Engine to Streamline Simulations stat.CO · 2016 · author #1
  31. Graph-Guided Banding of the Covariance Matrix stat.ME · 2016 · author #1
  32. Learning Local Dependence In Ordered Data math.ST · 2016 · author #2
  33. Non-convex Global Minimization and False Discovery Rate Control for the TREX stat.ML · 2016 · author #1
  34. Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations stat.ME · 2015 · author #2
  35. VARX-L: Structured Regularization for Large Vector Autoregressions with Exogenous Variables stat.AP · 2015 · author #3
  36. High Dimensional Forecasting via Interpretable Vector Autoregression stat.ME · 2014 · author #3
  37. Sparse Partially Linear Additive Models stat.ME · 2014 · author #2
  38. Convex Banding of the Covariance Matrix math.ST · 2014 · author #1
  39. Convex hierarchical testing of interactions stat.ME · 2012 · author #1
  40. A lasso for hierarchical interactions stat.ME · 2012 · author #1
  41. Prototype selection for interpretable classification stat.AP · 2012 · author #1
  42. Strong rules for discarding predictors in lasso-type problems math.ST · 2010 · author #2
  43. CUR from a Sparse Optimization Viewpoint cs.DS · 2010 · author #1
  44. Classification by Set Cover: The Prototype Vector Machine stat.ML · 2009 · author #1

Mentions

  • 2402.16725 #3 · arxiv_oai · confidence 0.70 Jacob Bien
  • 2506.01219 #4 · arxiv_oai · confidence 0.70 Jacob Bien
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  • 2012.02936 #2 · arxiv_oai · confidence 0.70 Jacob Bien
  • 2210.16710 #3 · arxiv_oai · confidence 0.70 Jacob Bien
  • 2008.11251 #4 · arxiv_oai · confidence 0.70 Jacob Bien
  • 2201.12387 #3 · arxiv_oai · confidence 0.70 Jacob Bien
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  • 1711.03623 #3 · arxiv_oai · confidence 0.70 Jacob Bien
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  • 1607.00021 #1 · arxiv_oai · confidence 0.70 Jacob Bien
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  • 1508.07497 #3 · backfill · confidence 0.70 Jacob Bien
  • 1407.4729 #2 · backfill · confidence 0.70 Jacob Bien
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  • 2605.23909 #3 · arxiv_oai · confidence 0.70 Jacob Bien
  • 1211.1344 #1 · backfill · confidence 0.70 Jacob Bien
  • 1205.5050 #1 · backfill · confidence 0.70 Jacob Bien
  • 1202.5933 #1 · backfill · confidence 0.70 Jacob Bien
  • 1011.2234 #2 · backfill · confidence 0.70 Jacob Bien
  • 1011.0413 #1 · backfill · confidence 0.70 Jacob Bien
  • 0908.2284 #1 · backfill · confidence 0.70 Jacob Bien

Frequent Coauthors