Eric Nalisnick
31 papers · 2018–2025 · 11 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 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Eric Nalisnick?
4 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 Metod Jazbec, Dan Zhang, Alexander Timans
12 papers
· 2022–2025
· UAI, AISTATS, NeurIPS
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Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
ICLR 2025
Generative Uncertainty in Diffusion Models
UAI 2025
Max-Rank: Efficient Multiple Testing for Conformal Prediction
AISTATS 2025
On Continuous Monitoring of Risk Violations under Unknown Shift
UAI 2025
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
ECCV 2024
Early-Exit Neural Networks with Nested Prediction Sets
UAI 2024
Fast yet Safe: Early-Exiting with Risk Control
NeurIPS 2024
Learning to Defer to a Population: A Meta-Learning Approach
AISTATS 2024
Exploiting Inferential Structure in Neural Processes
UAI 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
AISTATS 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
NeurIPS 2023
Calibrated Learning to Defer with One-vs-All Classifiers
ICML 2022