Optimising the quality-of-results (QoR) of circuits during logic synthes...
We introduce a method based on deep metric learning to perform Bayesian
...
In this paper, we propose CI-VI an efficient and scalable solver for
sem...
Bayesian optimisation presents a sample-efficient methodology for global...
We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...
In this paper, we present C-ADAM, the first adaptive solver for composit...
In this paper, we formalise order-robust optimisation as an instance of
...
Recently, α-Rank, a graph-based algorithm, has been proposed as a
soluti...
Although challenging, strategy profile evaluation in large connected lea...
The Neural Architecture Search (NAS) problem is typically formulated as ...
Though successful in high-dimensional domains, deep reinforcement learni...