Gavin Brown
18 papers · 2005–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Academic Marathon (19)
π§
Keyword Pioneer
π
Academic Marathon
(19)
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(2)
π
Century Club
(18)
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(81)
β
The Questioner
Conferences
JMLR (5)
COLT (4)
AISTATS (3)
ALT (2)
ICML (1)
NIPS (1)
PGM (1)
SEMEVAL (1)
Top co-authors
Keywords
differential privacy
(3)
mutual information
(3)
mean estimation
(2)
subgaussian distribution
(2)
model averaging
(2)
covariance estimation
(2)
ensemble diversity
(2)
bias-variance decomposition
(2)
feature selection
(2)
markov blanket
(2)
bayesian learning
(1)
sample complexity
(1)
supervised learning
(1)
manifold learning
(1)
representation learning
(1)
adversarial machine learning
(1)
nearest neighbor
(1)
few-shot learning
(1)
gaussian process
(1)
positive unlabeled 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
Performative Prediction in a Stateful World
AISTATS 2022
Bias-Variance Decompositions for Margin Losses
AISTATS 2022
Strong Memory Lower Bounds for Learning Natural Models
COLT 2022
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
NIPS 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
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
SEMEVAL 2013
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
JMLR 2013
Informative Priors for Markov Blanket Discovery
AISTATS 2012
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
JMLR 2012
Managing Diversity in Regression Ensembles
JMLR 2005