Mark Davenport
9 papers · 2016–2023 · 3 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Bronze
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Machine Learning
(7)
Core Methods
(6)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Applications
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
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(1)
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(1)
Core AI
(1)
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(1)
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(1)
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(1)
Keywords
low-rank matrix
(2)
recommender system
(2)
paired comparison
(2)
sample complexity
(2)
metric learning
(2)
mahalanobis distance
(2)
preference learning
(2)
reproducing kernel hilbert space
(2)
manifold dimension
(1)
matrix completion
(1)
ridge regression
(1)
gram matrix
(1)
human feedback
(1)
kernel regression
(1)
neural population dynamics
(1)
euclidean embedding
(1)
information maximization
(1)
matrix recovery
(1)
distributed computing
(1)
manifold learning
(1)
Papers
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
NeurIPS 2023
Harmless interpolation in regression and classification with structured features
AISTATS 2022
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
NeurIPS 2021
Generative causal explanations of black-box classifiers
NeurIPS 2020
Sample complexity and effective dimension for regression on manifolds
NeurIPS 2020
Sample complexity bounds for localized sketching
AISTATS 2020
Simultaneous Preference and Metric Learning from Paired Comparisons
NeurIPS 2020
Active Embedding Search via Noisy Paired Comparisons
ICML 2019
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
NeurIPS 2016