Oluwasanmi Koyejo
18 papers · 2013–2022 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(99)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Research topics
Machine Learning
(17)
Core Methods
(13)
Optimization & Theory
(9)
Mathematics & Optimization
(7)
Artificial Intelligence
(6)
Healthcare & Medicine
(6)
Optimization
(4)
Deep Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Clinical
(3)
Learning Types
(3)
Mathematics
(3)
Research
(3)
Application Areas
(2)
Keywords
aggregated data
(3)
functional neuroimaging
(2)
hierarchical model
(2)
binary classification
(2)
structure learning
(2)
adversarial attack
(2)
submodular optimization
(2)
neuroimaging data
(2)
healthcare analytics
(2)
metric elicitation
(2)
bayesian inference
(2)
sparse coding
(1)
statistical inference
(1)
text classification
(1)
matrix factorization
(1)
adversarial robustness
(1)
combinatorial optimization
(1)
bayesian learning
(1)
information retrieval
(1)
stochastic gradient descent
(1)
Papers
A Nonconvex Framework for Structured Dynamic Covariance Recovery
JMLR 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction
NAACL 2022
Quadratic metric elicitation for fairness and beyond
UAI 2022
Towards a Deep Network Architecture for Structured Smoothness
ICLR 2020
Dependent relevance determination for smooth and structured sparse regression
JMLR 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
UAI 2019
Joint Nonparametric Precision Matrix Estimation with Confounding
UAI 2019
Performance Metric Elicitation from Pairwise Classifier Comparisons
AISTATS 2019
Bayesian Structure Learning for Dynamic Brain Connectivity
AISTATS 2018
Consistency Analysis for Binary Classification Revisited
ICML 2017
Frequency Domain Predictive Modelling with Aggregated Data
AISTATS 2017
Information Projection and Approximate Inference for Structured Sparse Variables
AISTATS 2017
A Simple and Provable Algorithm for Sparse Diagonal CCA
ICML 2016
Optimal Classification with Multivariate Losses
ICML 2016
Sparse Parameter Recovery from Aggregated Data
ICML 2016
Generalized Linear Models for Aggregated Data
AISTATS 2015
Sparse Submodular Probabilistic PCA
AISTATS 2015
Bayesian Structure Learning for Functional Neuroimaging
AISTATS 2013