Oluwasanmi O Koyejo
11 papers · 2014–2022 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (37)
🗃️
Keyword Collector
(73)
📈
Trend Setter
💎
Century Club · Bronze
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(9)
Artificial Intelligence
(6)
Learning Types
(6)
Optimization & Theory
(6)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core AI
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Optimization
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Applications
(1)
Keywords
bayesian inference
(2)
variational inference
(2)
gaussian process
(2)
preference learning
(2)
performance metric
(2)
latent dirichlet allocation
(1)
self-supervised learning
(1)
approximate inference
(1)
sparse distribution
(1)
collaborative filtering
(1)
prototype learning
(1)
topic modeling
(1)
multi-label classification
(1)
image editing
(1)
automatic relevance determination
(1)
feature selection
(1)
brain imaging
(1)
sparse regression
(1)
binary classification
(1)
statistical consistency
(1)
Papers
Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision
CLeaR 2022
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
ICLR 2021
Learning Sparse Distributions using Iterative Hard Thresholding
NeurIPS 2019
Multiclass Performance Metric Elicitation
NeurIPS 2019
Examples are not enough, learn to criticize! Criticism for Interpretability
NeurIPS 2016
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
NeurIPS 2016
Preference Completion from Partial Rankings
NeurIPS 2016
Consistent Multilabel Classification
NeurIPS 2015
Consistent Binary Classification with Generalized Performance Metrics
NeurIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables
NeurIPS 2014
Sparse Bayesian structure learning with “dependent relevance determination” priors
NeurIPS 2014