Jeff M. Phillips
6 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π
Conference Pioneer
Top co-authors
Research topics
Keywords
sample complexity
(2)
feature embedding
(1)
gaussian process
(1)
high-dimensional estimation
(1)
reproducing kernel hilbert space
(1)
minimax estimation
(1)
distance metric learning
(1)
gaussian kernel
(1)
bayesian optimization
(1)
coresets
(1)
bias mitigation
(1)
loss function
(1)
low-rank model
(1)
noisy label
(1)
gradient vanishing
(1)
relative error
(1)
word embedding
(1)
random fourier feature
(1)
linear map
(1)
matern kernel
(1)
Papers
Estimation of Large Zipfian Distributions with Sort and Snap
AISTATS 2025
Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
ICLR 2025
Linear Distance Metric Learning with Noisy Labels
JMLR 2024
No Dimensional Sampling Coresets for Classification
ICML 2024
On Measuring and Mitigating Biased Inferences of Word Embeddings
AAAI 2020
Relative Error Embeddings of the Gaussian Kernel Distance
ALT 2017