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 Subhransu Maji, Jinlin Lai, Justin Domke
10 papers
· 2019–2026
· UAI, AAAI, ICCV
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Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
UAI 2026
Consensus-Driven Active Model Selection
ICCV 2025
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
AAAI 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
NeurIPS 2024
Human-in-the-Loop Visual Re-ID for Population Size Estimation
ECCV 2024
Sample Average Approximation for Black-Box Variational Inference
UAI 2024
Automatically marginalized MCMC in probabilistic programming
ICML 2023
Variational Marginal Particle Filters
AISTATS 2022
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
AAAI 2020
A Bayesian Perspective on the Deep Image Prior
CVPR 2019
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