Jacob R. Gardner
9 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π§ Keyword Pioneer π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Conference Polyglot (3)
π
Triple Crown
β‘
Prolific Year
(6)
Conferences
ICML (5)
ICLR (2)
NIPS (2)
Top co-authors
Keywords
variational inference
(2)
gaussian process
(2)
hyperparameter optimization
(1)
uncertainty quantification
(1)
bayesian optimization
(1)
acquisition function
(1)
gradient variance
(1)
linear-time inference
(1)
black-box variational inference
(1)
mean-field parameterization
(1)
computational uncertainty
(1)
stochastic gradient descent
(1)
utility-calibrated inference
(1)
model selection
(1)
Papers
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
ICML 2025
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
ICLR 2025
Learning Performance-Improving Code Edits
ICLR 2024
Demystifying SGD with Doubly Stochastic Gradients
ICML 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families
ICML 2024
Understanding Stochastic Natural Gradient Variational Inference
ICML 2024
Approximation-Aware Bayesian Optimization
NIPS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NIPS 2024
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
ICML 2023