David I Inouye
7 papers · 2014–2024 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (21)
🧭
Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Core AI
(3)
Core Methods
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Applications
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Resources & Methods
(1)
Keywords
poisson mrf
(2)
topic model
(2)
algorithmic fairness
(1)
latent dirichlet allocation
(1)
text mining
(1)
topic modeling
(1)
feature attribution
(1)
density models
(1)
machine learning fairness
(1)
distribution matching
(1)
log-partition function
(1)
perturbation analysis
(1)
machine learning
(1)
distribution shift
(1)
excess risk
(1)
unsupervised domain adaptation
(1)
multivariate time series
(1)
word dependencies
(1)
probabilistic modeling
(1)
representation learning
(1)
Papers
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NeurIPS 2024
Towards Practical Non-Adversarial Distribution Matching
AISTATS 2024
Cooperative Distribution Alignment via JSD Upper Bound
NeurIPS 2022
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
NeurIPS 2020
On the (In)fidelity and Sensitivity of Explanations
NeurIPS 2019
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
NeurIPS 2015
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
NeurIPS 2014