282 results on '"Alfred O. Hero"'
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2. Large Deviations for Statistical Sequence Matching.
3. Graph Sparsification by Approximate matrix Multiplication.
4. Community Detection in High-Dimensional Graph Ensembles.
5. Robustness-Preserving Lifelong Learning Via Dataset Condensation.
6. Compression-Informed Coded Computing.
7. SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks.
8. High Dimensional Stochastic Linear Contextual Bandit with Missing Covariates.
9. An Improvement on the Hotelling $T^{2}$ Test Using the Ledoit-Wolf Nonlinear Shrinkage Estimator.
10. Secure Linear MDS Coded Matrix Inversion.
11. Orthonormal Sketches for Secure Coded Regression.
12. Asymptotics for Outlier Hypothesis Testing.
13. Minimum-Risk Recalibration of Classifiers.
14. Uncertain Bayesian Networks: Learning from Incomplete Data.
15. Data Discovery Using Lossless Compression-Based Sparse Representation.
16. Approximate Weighted C R Coded Matrix Multiplication.
17. Achievable Resolution Limits for the Noisy Adaptive 20 Questions Problem.
18. Resolution Limits of Non-Adaptive 20 Questions Estimation for Multiple Targets.
19. Second-Order Asymptotically Optimal Outlying Sequence Detection with Reject Option.
20. A Practical Approach to Disease Risk Prediction: Focus on High-Risk Patients via Highest-k Loss.
21. The Sylvester Graphical Lasso (SyGlasso).
22. Weighted Gradient Coding with Leverage Score Sampling.
23. The Power of Graph Convolutional Networks to Distinguish Random Graph Models.
24. Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation.
25. Pattern-Based Analysis of Time Series: Estimation.
26. Numerically Stable Binary Gradient Coding.
27. Time-Varying Interaction Estimation Using Ensemble Methods.
28. Minimum Volume Topic Modeling.
29. Latent Heterogeneous Multilayer Community Detection.
30. Feature Selection for Mutlti-labeled Variables via Dependency Maximization.
31. Scalable Mutual Information Estimation Using Dependence Graphs.
32. Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information.
33. Scalable Hash-Based Estimation of Divergence Measures.
34. Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
35. Trade-offs Between Query Difficulty and Sample Complexity in Crowdsourced Data Acquisition.
36. Multi-class Bayes error estimation with a global minimal spanning tree.
37. Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem.
38. A Dimension-Independent Discriminant Between Distributions.
39. First-Order Bifurcation Detection for Dynamic Complex Networks.
40. Rate-Optimal Meta Learning of Classification Error.
41. Sequential Maximum Margin Classifiers for Partially Labeled Data.
42. Multi-Layer Relevance Networks.
43. Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty.
44. Semiblind subgraph reconstruction in Gaussian graphical models.
45. Dynamic reconstruction of influence graphs with adaptive directed information.
46. Distributed optimization for evolving networks of growing connectivity.
47. Part-level fully convolutional networks for pedestrian detection.
48. Learning sparse graphs under smoothness prior.
49. Information theoretic structure learning with confidence.
50. AMOS: An automated model order selection algorithm for spectral graph clustering.
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