Alp Kucukelbir
7 papers · 2015–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Models
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Methods
(2)
Mathematics & Optimization
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Optimization
(1)
Keywords
bayesian inference
(3)
latent variable
(2)
probabilistic programming
(2)
automatic differentiation
(2)
variational inference
(2)
model evaluation
(1)
expectation maximization
(1)
gradient estimation
(1)
markov chain monte carlo
(1)
predictive accuracy
(1)
robust inference
(1)
probabilistic prediction
(1)
gradient boosting
(1)
hierarchical model
(1)
variance reduction
(1)
posterior approximation
(1)
probabilistic model
(1)
mixture model
(1)
poisson factorization
(1)
control variate
(1)
Papers
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees
NeurIPS 2024
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
AISTATS 2021
Variance Reduction for Evolution Strategies via Structured Control Variates
AISTATS 2020
Automatic Differentiation Variational Inference
JMLR 2017
Evaluating Bayesian Models with Posterior Dispersion Indices
ICML 2017
Robust Probabilistic Modeling with Bayesian Data Reweighting
ICML 2017
Automatic Variational Inference in Stan
NeurIPS 2015