Zachary Nado
8 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 👥 Mega-Team (40)
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The Questioner
(2)
Conferences
JMLR (3)
ICLR (2)
NIPS (2)
AISTATS (1)
Top co-authors
Keywords
hyperparameter tuning
(2)
gaussian process
(2)
black-box optimization
(1)
uncertainty quantification
(1)
kl divergence
(1)
distribution shift
(1)
bayesian optimization
(1)
probabilistic model
(1)
out-of-distribution detection
(1)
utility function
(1)
model deployment
(1)
search space
(1)
spectral normalization
(1)
multi-task learning
(1)
machine learning theory
(1)
domain generalization
(1)
Papers
Accelerating neural network training: An analysis of the AlgoPerf competition
ICLR 2025
Pre-trained Gaussian Processes for Bayesian Optimization
JMLR 2024
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
AISTATS 2022
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
NIPS 2019
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
NIPS 2019