Gregory Wornell
9 papers · 2018–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(5)
Deep Learning
(4)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Learning Types
(2)
Models
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
uncertainty quantification
(2)
bayesian learning
(1)
generalization error
(1)
feature extraction
(1)
matrix factorization
(1)
source separation
(1)
parameter estimation
(1)
exponential family
(1)
feature distribution
(1)
unsupervised domain adaptation
(1)
out-of-domain detection
(1)
computational complexity
(1)
maximum likelihood
(1)
asymptotic analysis
(1)
transfer learning
(1)
maximum a posteriori
(1)
learning theory
(1)
maximum likelihood estimation
(1)
sparse linear regression
(1)
statistical learning
(1)
Papers
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
EACL 2023
Score-based Source Separation with Applications to Digital Communication Signals
NeurIPS 2023
A Computationally Efficient Method for Learning Exponential Family Distributions
NeurIPS 2021
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
NeurIPS 2021
On Learning Continuous Pairwise Markov Random Fields
AISTATS 2021
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
NeurIPS 2019
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
NeurIPS 2019
Co-regularized Alignment for Unsupervised Domain Adaptation
NeurIPS 2018