Oluwasanmi Koyejo
18 papers · 2013–2022 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Academic Marathon
(9)
ποΈ
Keyword Collector
(94)
π
Century Club
(18)
π₯
Unstoppable
(6)
π
Trend Setter
π
Conference Pioneer
Conferences
AISTATS (7)
ICML (4)
UAI (3)
JMLR (2)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
aggregated datum
(3)
binary classification
(2)
hierarchical model
(2)
metric elicitation
(2)
submodular optimization
(2)
neuroimaging datum
(2)
structure learning
(2)
adversarial attack
(2)
healthcare analytics
(2)
bayesian inference
(2)
functional neuroimaging
(2)
text classification
(1)
nonconvex optimization
(1)
statistical learning theory
(1)
sparse coding
(1)
matrix factorization
(1)
statistical inference
(1)
combinatorial optimization
(1)
expectation maximization
(1)
bayesian learning
(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
Performance Metric Elicitation from Pairwise Classifier Comparisons
AISTATS 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
UAI 2019
Joint Nonparametric Precision Matrix Estimation with Confounding
UAI 2019
Bayesian Structure Learning for Dynamic Brain Connectivity
AISTATS 2018
Frequency Domain Predictive Modelling with Aggregated Data
AISTATS 2017
Consistency Analysis for Binary Classification Revisited
ICML 2017
Information Projection and Approximate Inference for Structured Sparse Variables
AISTATS 2017
A Simple and Provable Algorithm for Sparse Diagonal CCA
ICML 2016
Sparse Parameter Recovery from Aggregated Data
ICML 2016
Optimal Classification with Multivariate Losses
ICML 2016
Sparse Submodular Probabilistic PCA
AISTATS 2015
Generalized Linear Models for Aggregated Data
AISTATS 2015
Bayesian Structure Learning for Functional Neuroimaging
AISTATS 2013