Daniel Sheldon
27 papers · 2013–2026 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Daniel Sheldon?
2 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 Cameron Musco, Akshat Kumar, Ryan McKenna
12 papers
· 2013–2024
· AISTATS, ICML, IJCAI
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Efficient and Private Marginal Reconstruction with Local Non-Negativity
NeurIPS 2024
Gaussian Process Bandits for Top-k Recommendations
NeurIPS 2024
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
AISTATS 2024
Faster Kernel Interpolation for Gaussian Processes
AISTATS 2021
Graphical-model based estimation and inference for differential privacy
ICML 2019
Three-quarter Sibling Regression for Denoising Observational Data
IJCAI 2019
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models
ICML 2017
Approximate Inference Using DC Programming For Collective Graphical Models
AISTATS 2016
Consistently Estimating Markov Chains with Noisy Aggregate Data
AISTATS 2016
Fast Combinatorial Algorithm for Optimizing the Spread of Cascades
IJCAI 2015
Approximate Inference in Collective Graphical Models
ICML 2013
Parameter Learning for Latent Network Diffusion
IJCAI 2013
5 papers whose co-authors appear nowhere else under this name
Parametric Bootstrap for Differentially Private Confidence Intervals
AISTATS 2022
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
ICCV 2021
Learning in Integer Latent Variable Models with Nested Automatic Differentiation
ICML 2018
Dynamic Resource Allocation for Optimizing Population Diffusion
AISTATS 2014
Gaussian Approximation of Collective Graphical Models
ICML 2014