The False Discovery Rate for Statistical Pattern Recognition
1 version
CS
Clayton Scott
stat.MLcs.LGmath.STstat.THAlgorithmscs.ITmath.ITeess.SPstat.MESupport Vector Machine
On Valency
published · living versionsPreprints & journals
69 papers in the corpus · 1994–2026Retrieval-Based In-Context Learning: A Domain Adaptation Framework
0 citations
Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification
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Estimating Phase From Observed Trajectories Using the Temporal 1-Form.
1 citation
Domain Generalization Under Posterior Drift
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Semantic Editing with Coupled Stochastic Differential Equations
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Flow Straight and Fast in Hilbert Space: Functional Rectified Flow
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The Implicit Bias of Gradient Descent on Separable Multiclass Data
1 citation
Label Noise: Ignorance Is Bliss
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Testing the Feasibility of Linear Programs with Bandit Feedback
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Joint Optimization of Piecewise Linear Ensembles
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Unified Binary and Multiclass Margin-Based Classification
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Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging
1 citation
Mixture Proportion Estimation Beyond Irreducibility
2 citations
Label Embedding via Low-Coherence Matrices
1 citation
On Classification-Calibration of Gamma-Phi Losses
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Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
2 citations
Learning from Label Proportions by Learning with Label Noise
6 citations
VC dimension of partially quantized neural networks in the overparametrized regime
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An Exact Solver for the Weston-Watkins SVM Subproblem
3 citations
Learning from Label Proportions: A Mutual Contamination Framework
7 citations
Weston-Watkins Hinge Loss and Ordered Partitions
1 citation
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
6 citations
Calibrated Surrogate Losses for Adversarially Robust Classification
10 citations
Hybrid Stem Cell States: Insights Into the Relationship Between Mammary Development and Breast Cancer Using Single-Cell Transcriptomics.
32 citations
Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions
4 citations
PAC Reinforcement Learning without Real-World Feedback
2 citations
A Generalization Error Bound for Multi-class Domain Generalization
18 citations
A gene filter for comparative analysis of single-cell RNA-sequencing trajectory datasets
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Local inversion-free estimation of spatial Gaussian processes
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Simple Regret Minimization for Contextual Bandits
13 citations
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
7 citations
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels.
38 citations
Domain Generalization by Marginal Transfer Learning
156 citations
Decontamination of Mutual Contamination Models
21 citations
Multi-Task Learning for Contextual Bandits
52 citations
Nonparametric Preference Completion
8 citations
Consistent Kernel Density Estimation with Non-Vanishing Bandwidth
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Adaptive Questionnaires for Direct Identification of Optimal Product Design
1 citation
An Operator Theoretic Approach to Nonparametric Mixture Models
9 citations
Mixture Proportion Estimation via Kernel Embedding of Distributions
82 citations
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models
1 citation
On the consistency of inversion-free parameter estimation for Gaussian random fields
3 citations
Optimal change point detection in Gaussian processes
23 citations
Sparse Approximation of a Kernel Mean
17 citations
On The Identifiability of Mixture Models from Grouped Samples
5 citations
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
4 citations
SCALABLE FUSED LASSO SVM FOR CONNECTOME-BASED DISEASE PREDICTION.
3 citations
Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.
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A rank-based approach to active diagnosis.
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Class Proportion Estimation with Application to Multiclass Anomaly Rejection
36 citations
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