Alistair Stewart
12 papers · 2017–2021 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🤝 Dynamic Duo (12)
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Trend Setter
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Century Club · Bronze
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Keyword Collector
(58)
Venues
Top co-authors
Research topics
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
Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition
COLT 2021
Statistical Query Lower Bounds for List-Decodable Linear Regression
NeurIPS 2021
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
NeurIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
NeurIPS 2019
Sever: A Robust Meta-Algorithm for Stochastic Optimization
ICML 2019
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
COLT 2018
Robust Learning of Fixed-Structure Bayesian Networks
NeurIPS 2018
Sharp Bounds for Generalized Uniformity Testing
NeurIPS 2018
Testing for Families of Distributions via the Fourier Transform
NeurIPS 2018
Being Robust (in High Dimensions) Can Be Practical
ICML 2017
Learning Multivariate Log-concave Distributions
COLT 2017
Testing Bayesian Networks
COLT 2017