Gregory Wornell
9 papers · 2018–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (6)
AAAI (1)
AISTATS (1)
EACL (1)
Top co-authors
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
Reliable Gradient-free and Likelihood-free Prompt Tuning
EACL 2023
Score-based Source Separation with Applications to Digital Communication Signals
NIPS 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
A Computationally Efficient Method for Learning Exponential Family Distributions
NIPS 2021
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
NIPS 2021
On Learning Continuous Pairwise Markov Random Fields
AISTATS 2021
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
NIPS 2019
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
NIPS 2019
Co-regularized Alignment for Unsupervised Domain Adaptation
NIPS 2018