Jun 22, 2021 · In this work, we leverage recent methodological advances in Bayesian optimization over high-dimensional search spaces and multi-objective Bayesian optimization.
In this work, we leverage recent methodological advances in. Bayesian optimization over high-dimensional search spaces and multi-objective Bayesian optimization ...
Jul 14, 2021 · TL;DR: We propose a high-dimensional multi-objective Bayesian optimization for tuning a natural language understanding model at Facebook.
This work leverage recent methodological advances in Bayesian optimization over high-dimensional search spaces and multi-objective Bayesian optimized to ...
Jun 25, 2021 · Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. Figure 1: Non-Autoregressive Model Architecture of the ...
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Jun 23, 2021 · Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization pdf: https://arxiv.org/pdf/2106.11890.pdf… abs: ...
Nov 21, 2024 · A novel multi-objective algorithm denoted as MO-BayONet is proposed for the Neural Architecture Search (NAS) in this paper.
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces ... Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization.
Venkatesh, M. Balandat. Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. ICML AutoML Workshop, 2021.
We show that using LaMOO can improve both Bayesian optimization and evolutionary algorithms by over. 200% to 500% sample efficiency. • LaMOO leads to state-of- ...