Gavin Brown
19 papers · 2005–2024 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Pioneer
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Trend Setter
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The Questioner
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(12)
Optimization & Theory
(11)
Artificial Intelligence
(7)
Learning Types
(7)
Mathematics & Optimization
(5)
Core AI
(5)
Mathematics
(5)
Application Areas
(3)
Security & Privacy
(2)
Learning Paradigms
(2)
Computer Science
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Foundations
(1)
Keywords
sample complexity
(4)
mutual information
(3)
differential privacy
(3)
mean estimation
(3)
feature selection
(2)
covariance estimation
(2)
markov blanket
(2)
model averaging
(2)
ensemble diversity
(2)
bias-variance decomposition
(2)
sub-gaussian distribution
(2)
few-shot learning
(1)
parameter estimation
(1)
adversarial machine learning
(1)
convex optimization
(1)
multi-task learning
(1)
ensemble learning
(1)
efficient computing
(1)
bayesian learning
(1)
adversarial learning
(1)
Papers
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract
COLT 2024
Metalearning with Very Few Samples Per Task
COLT 2024
A Unified Theory of Diversity in Ensemble Learning
JMLR 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
COLT 2023
Bias-Variance Decompositions for Margin Losses
AISTATS 2022
Performative Prediction in a Stateful World
AISTATS 2022
Strong Memory Lower Bounds for Learning Natural Models
COLT 2022
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
NeurIPS 2021
On the Stability of Feature Selection Algorithms
JMLR 2018
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates
ALT 2018
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours
ALT 2017
Estimating Mutual Information in Under-Reported Variables
PGM 2016
Is Feature Selection Secure against Training Data Poisoning?
ICML 2015
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
JMLR 2013
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
SemEval 2013
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
JMLR 2012
Informative Priors for Markov Blanket Discovery
AISTATS 2012
A New Perspective for Information Theoretic Feature Selection
AISTATS 2005
Managing Diversity in Regression Ensembles
JMLR 2005