Jonathan Scarlett

7 papers at tracked venues · 3 at CORE A* · active 2024–2026

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Venues

AISTATS ×2 COLT ×2 AAAI ×1 ICML ×1 NeurIPS ×1

Frequent coauthors

Xu Cai

×2

Gunjan Kumar

×1

Yash Pote

×1

Ivan Lau

×1

Ruslan Salakhutdinov

×1

Zico Kolter

×1

Katherine A. Heller

×1

Adrian Weller

×1

Nuria Oliver

×1

Felix Berkenkamp

×1

Qianli Shen

×1

Yezhen Wang

×1

Papers

A Distribution Testing Approach to Clustering Distributions
COLT 2026 ·
Gunjan Kumar
,
Yash Pote
, Jonathan Scarlett
Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?
COLT 2026 ·
Ivan Lau
, Jonathan Scarlett
Lower Bounds for Time-Varying Kernelized Bandits
AISTATS 2025 ·
Xu Cai
, Jonathan Scarlett
Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024
ICML 2024 ·
Ruslan Salakhutdinov
,
Zico Kolter
,
Katherine A. Heller
,
Adrian Weller
,
Nuria Oliver
, Jonathan Scarlett,
Felix Berkenkamp
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
AAAI 2024 ·
Xu Cai
, Jonathan Scarlett
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024 ·
Qianli Shen
,
Yezhen Wang
,
Zhouhao Yang
,
Xiang Li
,
Haonan Wang
,
Yang Zhang
, Jonathan Scarlett,
Zhanxing Zhu
,
Kenji Kawaguchi
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
AISTATS 2024 ·
Arpan Losalka
, Jonathan Scarlett