Ryan P. Adams
38 papers · 2008–2022 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 18% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ryan P. Adams?
8 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 Alex Beatson, Jordan Ash, Tianju Xue
5 papers
· 2020–2021
· NeurIPS, ICLR
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Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
NeurIPS 2021
Learning Composable Energy Surrogates for PDE Order Reduction
NeurIPS 2020
On Warm-Starting Neural Network Training
NeurIPS 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
ICLR 2020
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters
NeurIPS 2020
7 papers whose co-authors appear nowhere else under this name
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
NeurIPS 2021
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
NeurIPS 2019
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
NeurIPS 2017
Variational Boosting: Iteratively Refining Posterior Approximations
ICML 2017
Contrastive Learning Using Spectral Methods
NeurIPS 2013
Message Passing Inference with Chemical Reaction Networks
NeurIPS 2013
Priors for Diversity in Generative Latent Variable Models
NeurIPS 2012