85 results on '"Jeff M. Phillips"'
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2. No Dimensional Sampling Coresets for Classification.
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3. An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.
4. Sketching Multidimensional Time Series for Fast Discord Mining.
5. An Efficient Content-based Time Series Retrieval System.
6. Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
7. Using Existential Theory of the Reals to Bound VC Dimension.
8. Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
9. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
10. OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.
11. Self-Adaptable Point Processes with Nonparametric Time Decays.
12. An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.
13. Finding an Approximate Mode of a Kernel Density Estimate.
14. Orientation-Preserving Vectorized Distance Between Curves.
15. A Deterministic Streaming Sketch for Ridge Regression.
16. Approximate Maximum Halfspace Discrepancy.
17. Constrained Non-Affine Alignment of Embeddings.
18. Spatial Independent Range Sampling.
19. At-the-time and Back-in-time Persistent Sketches.
20. Normalization of Language Embeddings for Cross-Lingual Alignment.
21. Batch Multi-Fidelity Active Learning with Budget Constraints.
22. Sketched MinDist.
23. The GaussianSketch for Almost Relative Error Kernel Distance.
24. On Measuring and Mitigating Biased Inferences of Word Embeddings.
25. Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract).
26. The Kernel Spatial Scan Statistic.
27. Simple Distances for Trajectories via Landmarks.
28. Attenuating Bias in Word vectors.
29. The VC Dimension of Metric Balls Under Fréchet and Hausdorff Distances.
30. Independent Range Sampling, Revisited Again.
31. Closed Form Word Embedding Alignment.
32. Fully convolutional structured LSTM networks for joint 4D medical image segmentation.
33. Practical Low-Dimensional Halfspace Range Space Sampling.
34. Improved bounds on information dissemination by Manhattan Random Waypoint model.
35. Approximating the Distribution of the Median and other Robust Estimators on Uncertain Data.
36. Near-Optimal Coresets of Kernel Density Estimates.
37. Computing Approximate Statistical Discrepancy.
38. Improved Coresets for Kernel Density Estimates.
39. A Visual Tour of Bias Mitigation Techniques for Word Representations.
40. Coresets for Kernel Regression.
41. Relative Error Embeddings of the Gaussian Kernel Distance.
42. The Robustness of Estimator Composition.
43. epsilon-Kernel Coresets for Stochastic Points.
44. Efficient Frequent Directions Algorithm for Sparse Matrices.
45. Scalable spatial scan statistics through sampling.
46. Streaming Kernel Principal Component Analysis.
47. L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data.
48. Subsampling in Smoothed Range Spaces.
49. Geometric Inference on Kernel Density Estimates.
50. Improved Practical Matrix Sketching with Guarantees.
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