Zachary Nado
8 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π₯ Mega-Team Β· Squad
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The Questioner
(2)
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
hyperparameter tuning
(2)
gaussian process
(2)
multi-task learning
(1)
domain generalization
(1)
black-box optimization
(1)
uncertainty quantification
(1)
model calibration
(1)
batch normalization
(1)
kl divergence
(1)
convergence analysis
(1)
neural network optimization
(1)
distribution shift
(1)
bayesian optimization
(1)
dataset shift
(1)
probabilistic model
(1)
learning rate
(1)
adaptive optimization
(1)
gradient clipping
(1)
out-of-distribution detection
(1)
utility function
(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
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
AISTATS 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
NeurIPS 2019
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
NeurIPS 2019