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Dennis Wei

Identifiers

  • name variant Dennis Wei 0.60 · backfill

Papers (66)

  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. Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators cs.HC · 2025 · author #5
  6. CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions cs.LG · 2025 · author #5
  7. Agentic AI Needs a Systems Theory cs.AI · 2025 · author #11
  8. Identifying Sub-networks in Neural Networks via Functionally Similar Representations cs.LG · 2024 · author #4
  9. Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs cs.LG · 2024 · author #3
  10. Interventional Causal Discovery in a Mixture of DAGs cs.LG · 2024 · author #3
  11. Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions cs.HC · 2024 · author #6
  12. Selective Explanations cs.CY · 2024 · author #2
  13. The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers cs.SE · 2024 · author #6
  14. Multi-Level Explanations for Generative Language Models cs.CL · 2024 · author #2
  15. Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations cs.LG · 2024 · author #36
  16. Causal Bandits with General Causal Models and Interventions stat.ML · 2024 · author #2
  17. Trust Regions for Explanations via Black-Box Probabilistic Certification cs.LG · 2024 · author #3
  18. Effective Human-AI Teams via Learned Natural Language Rules and Onboarding cs.LG · 2023 · author #3
  19. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cs.LG · 2023 · author #5
  20. Interpretable Differencing of Machine Learning Models cs.LG · 2023 · author #3
  21. A Statistical Interpretation of the Maximum Subarray Problem stat.ME · 2023 · author #1
  22. Convex Bounds on the Softmax Function with Applications to Robustness Verification cs.LG · 2023 · author #1
  23. Who Should Predict? Exact Algorithms For Learning to Defer to Humans cs.LG · 2023 · author #3
  24. On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach cs.LG · 2022 · author #1
  25. Downstream Fairness Caveats with Synthetic Healthcare Data cs.LG · 2022 · author #3
  26. Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners cs.LG · 2022 · author #3
  27. FROTE: Feedback Rule-Driven Oversampling for Editing Models cs.LG · 2022 · author #2
  28. Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating Toxic Text Datasets cs.CL · 2021 · author #3
  29. Interpretable and Fair Boolean Rule Sets via Column Generation cs.LG · 2021 · author #4
  30. AI Explainability 360: Impact and Design cs.LG · 2021 · author #19
  31. Your fairness may vary: Pretrained language model fairness in toxic text classification cs.CL · 2021 · author #2
  32. Treatment Effect Estimation using Invariant Risk Minimization cs.LG · 2021 · author #4
  33. Optimal Policies for the Homogeneous Selective Labels Problem cs.LG · 2020 · author #1
  34. DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks cs.LG · 2020 · author #1
  35. Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making cs.HC · 2020 · author #3
  36. Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness cs.LG · 2020 · author #2
  37. Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing stat.ML · 2019 · author #2
  38. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques cs.AI · 2019 · author #19
  39. Characterization of Overlap in Observational Studies cs.LG · 2019 · author #3
  40. Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning cs.LG · 2019 · author #7
  41. Generalized Linear Rule Models cs.LG · 2019 · author #1
  42. Optimized Score Transformation for Consistent Fair Classification cs.LG · 2019 · author #1
  43. Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines cs.LG · 2019 · author #2
  44. TED: Teaching AI to Explain its Decisions cs.AI · 2018 · author #2
  45. Teaching Meaningful Explanations cs.AI · 2018 · author #7
  46. Boolean Decision Rules via Column Generation cs.AI · 2018 · author #3
  47. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization stat.ML · 2018 · author #2
  48. Distribution-Preserving k-Anonymity stat.ML · 2017 · author #1
  49. Optimized Data Pre-Processing for Discrimination Prevention stat.ML · 2017 · author #2
  50. Interpretable Two-level Boolean Rule Learning for Classification stat.ML · 2016 · author #2
  51. A Constant-Factor Bi-Criteria Approximation Guarantee for $k$-means++ cs.LG · 2016 · author #1
  52. Interpretable Two-level Boolean Rule Learning for Classification cs.LG · 2015 · author #2
  53. Statistical Estimation and Clustering of Group-invariant Orientation Parameters stat.ML · 2015 · author #2
  54. A Dictionary Approach to EBSD Indexing cs.CV · 2015 · author #3
  55. Coercive Region-level Registration for Multi-modal Images cs.CV · 2015 · author #2
  56. Parameter estimation in spherical symmetry groups stat.ML · 2014 · author #2
  57. Robust Binary Hypothesis Testing Under Contaminated Likelihoods cs.IT · 2014 · author #1
  58. Adaptive Sensing Resource Allocation Over Multiple Hypothesis Tests stat.ME · 2014 · author #1
  59. Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance cs.IT · 2014 · author #3
  60. Jointly Sparse Global SIMPLS Regression stat.ME · 2014 · author #4
  61. Spectral Correlation Hub Screening of Multivariate Time Series stat.OT · 2014 · author #2
  62. Performance Guarantees for Adaptive Estimation of Sparse Signals cs.IT · 2013 · author #1
  63. Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models stat.ML · 2013 · author #2
  64. On two relaxations of quadratically-constrained cardinality minimization math.OC · 2012 · author #1
  65. Multistage Adaptive Estimation of Sparse Signals stat.ME · 2012 · author #1
  66. Ensemble estimators for multivariate entropy estimation math.ST · 2012 · author #2

Mentions

  • 2508.06846 #5 · arxiv_oai · confidence 0.70 Dennis Wei
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Frequent Coauthors