Alistair Stewart
12 papers · 2017–2021 · 3 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Conference Polyglot (3) ๐ Cross-Pollinator (12) ๐ Interdisciplinary Bridge
๐บ๏ธ
Taxonomy Completionist
(19)
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Dynamic Duo
(12)
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Century Club
(12)
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Trend Setter
๐๏ธ
Keyword Collector
(57)
Conferences
NIPS (6)
COLT (4)
ICML (2)
Top co-authors
Keywords
sample complexity
(5)
total variation distance
(3)
outlier detection
(2)
log-concave density
(2)
robust learning
(2)
exponential family
(2)
bayesian network
(2)
distribution testing
(2)
property testing
(2)
adversarial corruption
(2)
polynomial time algorithm
(2)
high-dimensional statistics
(2)
robust estimation
(2)
ising model
(1)
density estimation
(1)
covariance estimation
(1)
convex optimization
(1)
learning theory
(1)
mean estimation
(1)
discrete optimization
(1)
Papers
Statistical Query Lower Bounds for List-Decodable Linear Regression
NIPS 2021
Outlier-Robust Learning of Ising Models Under Dobrushinโs Condition
COLT 2021
Sever: A Robust Meta-Algorithm for Stochastic Optimization
ICML 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
NIPS 2019
Robust Learning of Fixed-Structure Bayesian Networks
NIPS 2018
Testing for Families of Distributions via the Fourier Transform
NIPS 2018
Sharp Bounds for Generalized Uniformity Testing
NIPS 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
COLT 2018
Learning Multivariate Log-concave Distributions
COLT 2017
Being Robust (in High Dimensions) Can Be Practical
ICML 2017
Testing Bayesian Networks
COLT 2017