Sebastian Vollmer
7 papers · 2017–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (6) π Cross-Pollinator (11) π Interdisciplinary Bridge
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Conferences
AISTATS (4)
JMLR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
energy-based model
(2)
synthetic datum
(2)
markov chain monte carlo
(2)
bayesian learning
(2)
decision theory
(1)
distributed learning
(1)
markov decision process
(1)
gaussian process
(1)
natural gradient
(1)
expectation propagation
(1)
importance weighting
(1)
stochastic process
(1)
likelihood ratio
(1)
score matching
(1)
hamiltonian monte carlo
(1)
gradient clipping
(1)
functional datum
(1)
risk assessment
(1)
path measure
(1)
privacy constraint
(1)
Papers
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
NIPS 2023
Energy-Based Models for Functional Data using Path Measure Tilting
AISTATS 2023
Mitigating statistical bias within differentially private synthetic data
UAI 2022
Model updating after interventions paradoxically introduces bias
AISTATS 2021
Foundations of Bayesian Learning from Synthetic Data
AISTATS 2021
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
JMLR 2017
Relativistic Monte Carlo
AISTATS 2017