Alp Kucukelbir

19 papers A* 3A 3Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees. CoRR Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei
2024	A*	`conf`	Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees. NeurIPS Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei
2021	A	`conf`	Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning. AISTATS Yunhao Tang, Alp Kucukelbir
2020	J	`jnl`	Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning. CoRR Yunhao Tang, Alp Kucukelbir
2020	A	`conf`	Variance Reduction for Evolution Strategies via Structured Control Variates. AISTATS Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir
2019	J	`jnl`	Variance Reduction for Evolution Strategies via Structured Control Variates. CoRR Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir
2017	J	`jnl`	Automatic Differentiation Variational Inference. J. Mach. Learn. Res. Alp Kucukelbir, Dustin Tran, Rajesh Ranganath, Andrew Gelman, David M. Blei
2017	A*	`conf`	Evaluating Bayesian Models with Posterior Dispersion Indices. ICML Alp Kucukelbir, Yixin Wang, David M. Blei
2017	A*	`conf`	Robust Probabilistic Modeling with Bayesian Data Reweighting. ICML Yixin Wang, Alp Kucukelbir, David M. Blei
2017	J	`jnl`	Variational Deep Q Network. CoRR Yunhao Tang, Alp Kucukelbir
2016	J	`jnl`	Automatic Differentiation Variational Inference. CoRR Alp Kucukelbir, Dustin Tran, Rajesh Ranganath, Andrew Gelman, David M. Blei
2016	J	`jnl`	Edward: A library for probabilistic modeling, inference, and criticism. CoRR Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei
2016	J	`jnl`	Posterior Dispersion Indices. CoRR Alp Kucukelbir, David M. Blei
2016	J	`jnl`	Reweighted Data for Robust Probabilistic Models. CoRR Yixin Wang, Alp Kucukelbir, David M. Blei
2016	J	`jnl`	Variational Inference: A Review for Statisticians. CoRR David M. Blei, Alp Kucukelbir, Jon D. McAuliffe
2015	—	`conf`	Automatic Variational Inference in Stan. NIPS Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David M. Blei
2015	A	`conf`	Population Empirical Bayes. UAI Alp Kucukelbir, David M. Blei
2014	J	`jnl`	Profile Predictive Inference. CoRR Alp Kucukelbir, David M. Blei
2009	Misc	`conf`	A new stochastic estimator for tremor frequency tracking. ICASSP Alp Kucukelbir, Azadeh Kushki, Konstantinos N. Plataniotis