Joshua V. Dillon
5 papers · 2010–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (14) π£ Hot Topic Early Bird
π
Cross-Pollinator
(12)
πΊοΈ
Taxonomy Completionist
(10)
π₯
Mega-Team
(31)
Conferences
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
representation learning
(1)
bayesian inference
(1)
model misspecification
(1)
posterior distribution
(1)
maximum likelihood
(1)
asymptotic variance
(1)
boltzmann machine
(1)
generative framework
(1)
empirical risk
(1)
bayesian posterior
(1)
generalization guarantee
(1)
generalization gap
(1)
convex combination
(1)
composite likelihood
(1)
predictive distribution
(1)
conditional random field
(1)
graph sampling
(1)
statistical robustness
(1)
analytical gradient
(1)
graph neural network
(1)
Papers
VideoPoet: A Large Language Model for Zero-Shot Video Generation
ICML 2024
Weighted Ensemble Self-Supervised Learning
ICLR 2023
SubMix: Learning to Mix Graph Sampling Heuristics
UAI 2023
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
AISTATS 2022
Stochastic Composite Likelihood
JMLR 2010