34 citations · 52 across the 9 of their papers we have counts for
10 papers
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
Arpan Losalka, Jonathan Scarlett
We consider the problem of sequentially maximizing an unknown function over a set of actions of the form , where the selected actions must satisfy a safety cons…
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
In this paper, we study the problem of estimating the normalizing constant through queries to the black-box function , where belongs to a reproducing ker…
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
Junren Chen, Jonathan Scarlett, Michael K. Ng +1
In generative compressed sensing (GCS), we want to recover a signal from measurements () using a generative prior $\mathbf{x}^*\in G(\ma…
Maxflow-Based Bounds for Low-Rate Information Propagation over Noisy Networks
Yan Hao Ling, Jonathan Scarlett
We study error exponents for the problem of low-rate communication over a directed graph, where each edge in the graph represents a noisy communication channel, and there is a sing…
Communication-Constrained Bandits under Additive Gaussian Noise
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
We study a distributed stochastic multi-armed bandit where a client supplies the learner with communication-constrained feedback based on the rewards for the corresponding arm pull…
For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods
Jonathan Scarlett, Nicholas Teh, Yair Zick
Fair allocation of indivisible goods is a well-explored problem. Traditionally, research focused on individual fairness - are individual agents satisfied with their allotted share?…