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Dennis Wei

Identifiers

  • name variant Dennis Wei 0.60 · backfill

Papers (53)

  1. Local Causal Attribution of Chain-of-Thought Reasoning cs.LG · 2026 · author #1
  2. Multi-component Causal Tracing in Large Language Models cs.LG · 2026 · author #2
  3. Entropy-Aware On-Policy Distillation of Language Models cs.LG · 2026 · author #6
  4. CoFrGeNet: Continued Fraction Architectures for Language Generation cs.CL · 2026 · author #3
  5. Effective Human-AI Teams via Learned Natural Language Rules and Onboarding cs.LG · 2023 · author #3
  6. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cs.LG · 2023 · author #5
  7. Interpretable Differencing of Machine Learning Models cs.LG · 2023 · author #3
  8. A Statistical Interpretation of the Maximum Subarray Problem stat.ME · 2023 · author #1
  9. Convex Bounds on the Softmax Function with Applications to Robustness Verification cs.LG · 2023 · author #1
  10. Who Should Predict? Exact Algorithms For Learning to Defer to Humans cs.LG · 2023 · author #3
  11. On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach cs.LG · 2022 · author #1
  12. Downstream Fairness Caveats with Synthetic Healthcare Data cs.LG · 2022 · author #3
  13. Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners cs.LG · 2022 · author #3
  14. FROTE: Feedback Rule-Driven Oversampling for Editing Models cs.LG · 2022 · author #2
  15. Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating Toxic Text Datasets cs.CL · 2021 · author #3
  16. Interpretable and Fair Boolean Rule Sets via Column Generation cs.LG · 2021 · author #4
  17. AI Explainability 360: Impact and Design cs.LG · 2021 · author #19
  18. Your fairness may vary: Pretrained language model fairness in toxic text classification cs.CL · 2021 · author #2
  19. Treatment Effect Estimation using Invariant Risk Minimization cs.LG · 2021 · author #4
  20. Optimal Policies for the Homogeneous Selective Labels Problem cs.LG · 2020 · author #1
  21. DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks cs.LG · 2020 · author #1
  22. Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making cs.HC · 2020 · author #3
  23. Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness cs.LG · 2020 · author #2
  24. Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing stat.ML · 2019 · author #2
  25. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques cs.AI · 2019 · author #19
  26. Characterization of Overlap in Observational Studies cs.LG · 2019 · author #3
  27. Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning cs.LG · 2019 · author #7
  28. Generalized Linear Rule Models cs.LG · 2019 · author #1
  29. Optimized Score Transformation for Consistent Fair Classification cs.LG · 2019 · author #1
  30. Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines cs.LG · 2019 · author #2
  31. TED: Teaching AI to Explain its Decisions cs.AI · 2018 · author #2
  32. Teaching Meaningful Explanations cs.AI · 2018 · author #7
  33. Boolean Decision Rules via Column Generation cs.AI · 2018 · author #3
  34. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization stat.ML · 2018 · author #2
  35. Distribution-Preserving k-Anonymity stat.ML · 2017 · author #1
  36. Optimized Data Pre-Processing for Discrimination Prevention stat.ML · 2017 · author #2
  37. Interpretable Two-level Boolean Rule Learning for Classification stat.ML · 2016 · author #2
  38. A Constant-Factor Bi-Criteria Approximation Guarantee for $k$-means++ cs.LG · 2016 · author #1
  39. Interpretable Two-level Boolean Rule Learning for Classification cs.LG · 2015 · author #2
  40. Statistical Estimation and Clustering of Group-invariant Orientation Parameters stat.ML · 2015 · author #2
  41. A Dictionary Approach to EBSD Indexing cs.CV · 2015 · author #3
  42. Coercive Region-level Registration for Multi-modal Images cs.CV · 2015 · author #2
  43. Parameter estimation in spherical symmetry groups stat.ML · 2014 · author #2
  44. Robust Binary Hypothesis Testing Under Contaminated Likelihoods cs.IT · 2014 · author #1
  45. Adaptive Sensing Resource Allocation Over Multiple Hypothesis Tests stat.ME · 2014 · author #1
  46. Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance cs.IT · 2014 · author #3
  47. Jointly Sparse Global SIMPLS Regression stat.ME · 2014 · author #4
  48. Spectral Correlation Hub Screening of Multivariate Time Series stat.OT · 2014 · author #2
  49. Performance Guarantees for Adaptive Estimation of Sparse Signals cs.IT · 2013 · author #1
  50. Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models stat.ML · 2013 · author #2
  51. On two relaxations of quadratically-constrained cardinality minimization math.OC · 2012 · author #1
  52. Multistage Adaptive Estimation of Sparse Signals stat.ME · 2012 · author #1
  53. Ensemble estimators for multivariate entropy estimation math.ST · 2012 · author #2

Mentions

  • 2311.01007 #3 · arxiv_oai · confidence 0.70 Dennis Wei
  • 2304.13307 #1 · arxiv_oai · confidence 0.70 Dennis Wei
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  • 2011.01381 #1 · arxiv_oai · confidence 0.70 Dennis Wei
  • 2010.09133 #1 · arxiv_oai · confidence 0.70 Dennis Wei
  • 1805.09901 #3 · arxiv_oai · confidence 0.70 Dennis Wei
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  • 1511.07361 #2 · backfill · confidence 0.70 Dennis Wei
  • 2606.03085 #2 · arxiv_oai · confidence 0.70 Dennis Wei
  • 1503.04474 #2 · backfill · confidence 0.70 Dennis Wei
  • 1502.07436 #3 · backfill · confidence 0.70 Dennis Wei
  • 1502.07432 #2 · backfill · confidence 0.70 Dennis Wei
  • 1411.2540 #2 · backfill · confidence 0.70 Dennis Wei
  • 1410.0952 #1 · backfill · confidence 0.70 Dennis Wei
  • 1410.0950 #1 · backfill · confidence 0.70 Dennis Wei
  • 1409.7808 #3 · backfill · confidence 0.70 Dennis Wei
  • 1408.0318 #4 · backfill · confidence 0.70 Dennis Wei
  • 1403.3371 #2 · backfill · confidence 0.70 Dennis Wei
  • 1311.6360 #1 · backfill · confidence 0.70 Dennis Wei
  • 1303.4756 #2 · backfill · confidence 0.70 Dennis Wei
  • 2603.07079 #6 · arxiv_oai · confidence 0.70 Dennis Wei
  • 2601.21766 #3 · arxiv_oai · confidence 0.70 Dennis Wei
  • 1210.5225 #1 · backfill · confidence 0.70 Dennis Wei
  • 1210.1473 #1 · backfill · confidence 0.70 Dennis Wei
  • 1203.5829 #2 · backfill · confidence 0.70 Dennis Wei
  • 2310.12508 #5 · arxiv_oai · confidence 0.70 Dennis Wei

Frequent Coauthors