Kucukelbir, Alp

8 publications

NeurIPS 2024 Treeffuser: Probabilistic Prediction via Conditional Diffusions with Gradient-Boosted Trees Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David Blei

AISTATS 2021 Hindsight Expectation Maximization for Goal-Conditioned Reinforcement Learning Yunhao Tang, Alp Kucukelbir

AISTATS 2020 Variance Reduction for Evolution Strategies via Structured Control Variates Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir

JMLR 2017 Automatic Differentiation Variational Inference Alp Kucukelbir, Dustin Tran, Rajesh Ranganath, Andrew Gelman, David M. Blei

ICML 2017 Evaluating Bayesian Models with Posterior Dispersion Indices Alp Kucukelbir, Yixin Wang, David M. Blei

ICML 2017 Robust Probabilistic Modeling with Bayesian Data Reweighting Yixin Wang, Alp Kucukelbir, David M. Blei

NeurIPS 2015 Automatic Variational Inference in Stan Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David Blei

UAI 2015 Population Empirical Bayes Alp Kucukelbir, David M. Blei