P
PaperPicks
Conferences
Daniel Sheldon
9 papers at tracked venues · 6 at CORE A* · active 2024–2025
DBLP profile ↗
ORCID search ↗
Venues
NeurIPS
×4
AAAI
×1
AISTATS
×1
ECCV
×1
ICCV
×1
UAI
×1
Frequent coauthors
Gustavo Pérez
DBLP profile ↗
ORCID search ↗
×2
Max Hamilton
DBLP profile ↗
ORCID search ↗
×1
Justin Kay
DBLP profile ↗
ORCID search ↗
×1
Brett Mullins
DBLP profile ↗
ORCID search ↗
×1
Mohit Yadav
DBLP profile ↗
ORCID search ↗
×1
Jinlin Lai
DBLP profile ↗
ORCID search ↗
×1
Miguel Fuentes
DBLP profile ↗
ORCID search ↗
×1
Javier Burroni
DBLP profile ↗
ORCID search ↗
×1
Papers
Active Measurement: Efficient Estimation at Scale
NeurIPS 2025
·
Max Hamilton
DBLP profile ↗
ORCID search ↗
Consensus-Driven Active Model Selection
ICCV 2025
·
Justin Kay
DBLP profile ↗
ORCID search ↗
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
AAAI 2024
·
Gustavo Pérez
DBLP profile ↗
ORCID search ↗
Efficient and Private Marginal Reconstruction with Local Non-Negativity
NeurIPS 2024
·
Brett Mullins
DBLP profile ↗
ORCID search ↗
Gaussian Process Bandits for Top-k Recommendations
NeurIPS 2024
·
Mohit Yadav
DBLP profile ↗
ORCID search ↗
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
NeurIPS 2024
·
Jinlin Lai
DBLP profile ↗
ORCID search ↗
Human-in-the-Loop Visual Re-ID for Population Size Estimation
ECCV 2024
·
Gustavo Pérez
DBLP profile ↗
ORCID search ↗
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
AISTATS 2024
·
Miguel Fuentes
DBLP profile ↗
ORCID search ↗
Sample Average Approximation for Black-Box Variational Inference
UAI 2024
·
Javier Burroni
DBLP profile ↗
ORCID search ↗