conftrace_

stopping criterion

9 papers

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Co-occurring keywords · papers mentioning both

bayesian optimization (3) acquisition function (2) neural machine translation (2) black-box optimization (2) recall estimation (1) scoring method (1) boosting consistency (1) adaboost algorithm (1) lloyd's algorithm (1) clusterability assumption (1)

Papers

Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023 A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation AACL 2020 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation EMNLP 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016 Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007 AdaBoost is Consistent NeurIPS 2006