| Domain Generalization By Marginal Transfer Learning | 2 | 0.37 | 2021 |
| An Exact Solver for the Weston-Watkins SVM Subproblem | 0 | 0.34 | 2021 |
| Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations | 0 | 0.34 | 2020 |
| Learning from Label Proportions: A Mutual Contamination Framework | 0 | 0.34 | 2020 |
| Weston-Watkins Hinge Loss and Ordered Partitions | 0 | 0.34 | 2020 |
| Calibrated Surrogate Losses for Adversarially Robust Classification | 0 | 0.34 | 2020 |
| Supervised Principal Component Analysis Via Manifold Optimization | 0 | 0.34 | 2019 |
| A Generalization Error Bound for Multi-class Domain Generalization. | 0 | 0.34 | 2019 |
| Feasible Arm Identification. | 0 | 0.34 | 2018 |
| Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels. | 2 | 0.38 | 2018 |
| Multi-Task Learning for Contextual Bandits. | 1 | 0.35 | 2017 |
| Adaptive Questionnaires for Direct Identification of Optimal Product Design. | 0 | 0.34 | 2017 |
| Consistent Kernel Density Estimation with Non-Vanishing Bandwidth. | 0 | 0.34 | 2017 |
| On the consistency of inversion-free parameter estimation for Gaussian random fields. | 0 | 0.34 | 2016 |
| Mixture Proportion Estimation via Kernel Embedding of Distributions. | 12 | 0.58 | 2016 |
| Scalable fused Lasso SVM for connectome-based disease prediction | 0 | 0.34 | 2014 |
| Scalable sparse approximation of a sample mean | 2 | 0.40 | 2014 |
| Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine. | 6 | 0.44 | 2014 |
| Class Proportion Estimation with Application to Multiclass Anomaly Rejection. | 11 | 0.63 | 2014 |
| Classification with Asymmetric Label Noise: Consistency and Maximal Denoising | 12 | 0.87 | 2013 |
| Consistency of Robust Kernel Density Estimators. | 3 | 0.46 | 2013 |
| Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis. | 3 | 0.40 | 2013 |
| Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations | 23 | 1.10 | 2012 |
| Spatial confidence regions for quantifying and visualizing registration uncertainty | 2 | 0.39 | 2012 |
| Transfer Learning for Auto-gating of Flow Cytometry Data. | 2 | 0.39 | 2012 |
| Transfer Learning for Auto-gating of Flow Cytometry Data. | 0 | 0.34 | 2012 |
| EM algorithms for multivariate Gaussian mixture models with truncated and censored data | 21 | 1.91 | 2012 |
| Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach | 0 | 0.34 | 2011 |
| Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs. | 3 | 0.41 | 2011 |
| Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach. | 2 | 0.37 | 2011 |
| Robust kernel density estimation | 11 | 0.91 | 2011 |
| Asymptotic Source Detection Performance of Gamma-Ray Imaging Systems Under Model Mismatch | 1 | 0.35 | 2011 |
| On the Robustness of Kernel Density M-Estimators. | 1 | 0.36 | 2011 |
| Statistical file matching of flow cytometry data. | 1 | 0.38 | 2011 |
| Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks | 2 | 0.45 | 2011 |
| Generalizing from Several Related Classification Tasks to a New Unlabeled Sample. | 22 | 0.82 | 2011 |
| L2 kernel classification. | 6 | 0.47 | 2010 |
| Semi-Supervised Novelty Detection | 23 | 0.95 | 2010 |
| Extensions of Generalized Binary Search to Group Identification and Exponential Costs. | 4 | 0.65 | 2010 |
| Query Learning with Exponential Query Costs | 1 | 0.37 | 2010 |
| Nested Support Vector Machines | 12 | 1.19 | 2010 |
| Novelty detection: Unlabeled data definitely help | 0 | 0.34 | 2009 |
| Group-based Query Learning for rapid diagnosis in time-critical situations | 4 | 0.57 | 2009 |
| Novelty detection: Unlabeled data definitely help | 8 | 1.92 | 2009 |
| Adaptive Hausdorff Estimation of Density Level Sets | 2 | 0.43 | 2008 |
| Performance analysis for L_2 kernel classification | 1 | 0.37 | 2008 |
| The One Class Support Vector Machine Solution Path | 13 | 0.70 | 2007 |
| Controlling False Alarms With Support Vector Machines | 21 | 1.28 | 2006 |
| Robust contour matching via the order-preserving assignment problem | 42 | 1.58 | 2006 |
| Learning Minimum Volume Sets | 53 | 3.48 | 2005 |
