Atilim Gunes Baydin
9 papers · 2017–2022 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π Conference Polyglot Β· Silver
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Unstoppable Β· Bronze
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory Β· Machine Learning
(6)
Deep Learning
(4)
Artificial Intelligence
(3)
Models
(3)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory Β· Deep Learning
(1)
Techniques
(1)
Keywords
probabilistic programming
(3)
inference compilation
(2)
domain adaptation
(2)
amortized inference
(2)
sequential importance sampling
(2)
transfer learning
(1)
variational inference
(1)
stochastic gradient descent
(1)
gradient-based optimization
(1)
hyperparameter optimization
(1)
kl divergence
(1)
automatic differentiation
(1)
markov chain monte carlo
(1)
importance sampling
(1)
black-box optimization
(1)
differentiable programming
(1)
bayesian inference
(1)
variance reduction
(1)
gradient computation
(1)
posterior inference
(1)
Papers
Amortized Rejection Sampling in Universal Probabilistic Programming
AISTATS 2022
KL Guided Domain Adaptation
ICLR 2022
Domain Invariant Representation Learning with Domain Density Transformations
NeurIPS 2021
AutoSimulate: (Quickly) Learning Synthetic Data Generation
ECCV 2020
Black-Box Optimization with Local Generative Surrogates
NeurIPS 2020
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
NeurIPS 2019
Automatic Differentiation in Machine Learning: a Survey
JMLR 2018
Online Learning Rate Adaptation with Hypergradient Descent
ICLR 2018
Inference Compilation and Universal Probabilistic Programming
AISTATS 2017