Mark Davenport
9 papers · 2016–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (7) π Renaissance Researcher (6) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(22)
π
Cross-Pollinator
(7)
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(51)
Conferences
NIPS (6)
AISTATS (2)
ICML (1)
Top co-authors
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
NIPS 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
NIPS 2021
Sample complexity bounds for localized sketching
AISTATS 2020
Sample complexity and effective dimension for regression on manifolds
NIPS 2020
Simultaneous Preference and Metric Learning from Paired Comparisons
NIPS 2020
Generative causal explanations of black-box classifiers
NIPS 2020
Active Embedding Search via Noisy Paired Comparisons
ICML 2019
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
NIPS 2016