Jackson Loper
4 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
Venues
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Research topics
Deep Learning
(3)
Machine Learning
(3)
Models
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Data Science & Analytics
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
variational inference
(3)
kl divergence
(2)
time series
(1)
reproducing kernel hilbert space
(1)
sequential monte carlo
(1)
gradient descent
(1)
posterior estimation
(1)
variational approximation
(1)
posterior approximation
(1)
amortized inference
(1)
state space model
(1)
simulation-based inference
(1)
gradient estimator
(1)
evidence lower bound
(1)
coverage guarantee
(1)
amortized variational inference
(1)
forward kl divergence
(1)
inclusive kl divergence
(1)
spectral mixture kernel
(1)
neural posterior estimation
(1)
Papers
Globally Convergent Variational Inference
NeurIPS 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
AISTATS 2024
Variational Inference with Coverage Guarantees in Simulation-Based Inference
ICML 2024
A general linear-time inference method for Gaussian Processes on one dimension
JMLR 2021