Johan Ugander
13 papers · 2011–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Topic Evolution
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Trend Setter
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
(75)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(9)
Core Methods
(6)
Optimization
(6)
Artificial Intelligence
(5)
Mathematics
(5)
Optimization & Theory
(5)
Learning Types
(4)
Core AI
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Foundations
(1)
Keywords
choice model
(3)
instant runoff voting
(3)
exclusion zone
(2)
off-policy evaluation
(2)
partial identification
(2)
electoral system
(2)
em algorithm
(1)
markov chain
(1)
context effects
(1)
maximum likelihood
(1)
tensor decomposition
(1)
discrete choice
(1)
sparse optimization
(1)
tensor factorization
(1)
sparse learning
(1)
smoothness
(1)
sparse mixture models
(1)
expectation maximization
(1)
pseudo-dirichlet
(1)
concave regularization
(1)
Papers
Exclusion Zones of Instant Runoff Voting
AAAI 2026
Replicating Electoral Success
AAAI 2025
A tensor factorization model of multilayer network interdependence
JMLR 2024
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
ICML 2024
Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
ICML 2024
The Moderating Effect of Instant Runoff Voting
AAAI 2024
Ballot Length in Instant Runoff Voting
AAAI 2023
Counterfactual Evaluation of Peer-Review Assignment Policies
NeurIPS 2023
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
AAAI 2023
Learning Rich Rankings
NeurIPS 2020
Discovering Context Effects from Raw Choice Data
ICML 2019
Pairwise Choice Markov Chains
NeurIPS 2016
A concave regularization technique for sparse mixture models
NeurIPS 2011