Jonathan Scarlett
41 papers · 2015–2026 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Jonathan Scarlett?
5 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.
8 papers whose co-authors appear nowhere else under this name
A Distribution Testing Approach to Clustering Distributions
COLT 2026
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024
Communication-Constrained Bandits under Additive Gaussian Noise
ICML 2023
Max-Min Grouped Bandits
AAAI 2022
A Characteristic Function Approach to Deep Implicit Generative Modeling
CVPR 2020
A MaxSAT-Based Framework for Group Testing
AAAI 2020
Learning Gaussian Graphical Models via Multiplicative Weights
AISTATS 2020
Tight Regret Bounds for Bayesian Optimization in One Dimension
ICML 2018