Alp Kucukelbir

According to our database1, Alp Kucukelbir authored at least 15 papers between 2009 and 2024.

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Bibliography

2024
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees.
CoRR, 2024

2021
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Variance Reduction for Evolution Strategies via Structured Control Variates.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2017
Automatic Differentiation Variational Inference.
J. Mach. Learn. Res., 2017

Variational Deep Q Network.
CoRR, 2017

Robust Probabilistic Modeling with Bayesian Data Reweighting.
Proceedings of the 34th International Conference on Machine Learning, 2017

Evaluating Bayesian Models with Posterior Dispersion Indices.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Reweighted Data for Robust Probabilistic Models.
CoRR, 2016

Edward: A library for probabilistic modeling, inference, and criticism.
CoRR, 2016

Posterior Dispersion Indices.
CoRR, 2016

Variational Inference: A Review for Statisticians.
CoRR, 2016

2015
Population Empirical Bayes.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Automatic Variational Inference in Stan.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Profile Predictive Inference.
CoRR, 2014

2009
A new stochastic estimator for tremor frequency tracking.
Proceedings of the IEEE International Conference on Acoustics, 2009


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