Bayesian optimization with Gaussian processes finds top-scoring machine translation candidates while scoring only a fraction of the candidate list, and multi-fidelity proxies improve the cost-performance tradeoff.
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A Bayesian Optimization Approach to Machine Translation Reranking
Bayesian optimization with Gaussian processes finds top-scoring machine translation candidates while scoring only a fraction of the candidate list, and multi-fidelity proxies improve the cost-performance tradeoff.