Rajesh Ranganath
55 papers · 2009–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 49% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Rajesh Ranganath?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with David Blei, Dustin Tran, Jaan Altosaar
16 papers
· 2014–2018
· AISTATS, NeurIPS, MLHC
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Deep Survival Analysis: Nonparametrics and Missingness
MLHC 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks
ICML 2018
Proximity Variational Inference
AISTATS 2018
Variational Sequential Monte Carlo
AISTATS 2018
Automatic Differentiation Variational Inference
JMLR 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference
NeurIPS 2017
Variational Inference via χ Upper Bound Minimization
NeurIPS 2017
Deep Survival Analysis
MLHC 2016
Hierarchical Variational Models
ICML 2016
Operator Variational Inference
NeurIPS 2016
Variational Tempering
AISTATS 2016
Automatic Variational Inference in Stan
NeurIPS 2015
Deep Exponential Families
AISTATS 2015
The Population Posterior and Bayesian Modeling on Streams
NeurIPS 2015
Bayesian Nonparametric Poisson Factorization for Recommendation Systems
AISTATS 2014
Black Box Variational Inference
AISTATS 2014
6 papers whose co-authors appear nowhere else under this name
An Effective Meaningful Way to Evaluate Survival Models
ICML 2023
Energy-Inspired Models: Learning with Sampler-Induced Distributions
NeurIPS 2019
Predicate Exchange: Inference with Declarative Knowledge
ICML 2019
Support and Invertibility in Domain-Invariant Representations
AISTATS 2019
The Variational Predictive Natural Gradient
ICML 2019
An Adaptive Learning Rate for Stochastic Variational Inference
ICML 2013