293 results on '"Jeff M. Phillips"'
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2. Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
3. Linear Distance Metric Learning with Noisy Labels.
4. VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.
5. No Dimensional Sampling Coresets for Classification.
6. An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.
7. Sketching Multidimensional Time Series for Fast Discord Mining.
8. An Efficient Content-based Time Series Retrieval System.
9. Fast Comparative Analysis of Merge Trees Using Locality Sensitive Hashing.
10. An experimental study on classifying spatial trajectories.
11. Ferret: Reviewing Tabular Datasets for Manipulation.
12. Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342).
13. Computational Geometry (Dagstuhl Seminar 23221).
14. Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
15. Using Existential Theory of the Reals to Bound VC Dimension.
16. Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
17. Practical and configurable network traffic classification using probabilistic machine learning.
18. Efficient Oblivious Query Processing for Range and kNN Queries.
19. On Mergable Coresets for Polytope Distance.
20. Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
21. Locally Adaptive and Differentiable Regression.
22. For Kernel Range Spaces a Constant Number of Queries Are Sufficient.
23. Linear Distance Metric Learning with Noisy Labels.
24. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
25. OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.
26. Self-Adaptable Point Processes with Nonparametric Time Decays.
27. An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.
28. Finding an Approximate Mode of a Kernel Density Estimate.
29. Orientation-Preserving Vectorized Distance Between Curves.
30. A Deterministic Streaming Sketch for Ridge Regression.
31. Approximate Maximum Halfspace Discrepancy.
32. Constrained Non-Affine Alignment of Embeddings.
33. Spatial Independent Range Sampling.
34. At-the-time and Back-in-time Persistent Sketches.
35. Normalization of Language Embeddings for Cross-Lingual Alignment.
36. Batch Multi-Fidelity Active Learning with Budget Constraints.
37. Sketched MinDist.
38. The GaussianSketch for Almost Relative Error Kernel Distance.
39. On Measuring and Mitigating Biased Inferences of Word Embeddings.
40. The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances.
41. Closed form word embedding alignment.
42. Semantic embedding for regions of interest.
43. Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates.
44. Computational Geometry (Dagstuhl Seminar 21181).
45. Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract).
46. Classifying Spatial Trajectories.
47. Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression.
48. Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342)
49. The Kernel Spatial Scan Statistic.
50. Simple Distances for Trajectories via Landmarks.
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