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Found 4 papers, 1 papers with code
Semi-Supervised Learning for Bilingual Lexicon Induction
It was recently shown that it is possible to infer such lexicon, without using any parallel data, by aligning word embeddings trained on monolingual data.
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series
We begin by identifying the challenges unique to this anomaly detection problem, which is at entity-level (e. g., deployments), relative to the more typical problem of anomaly detection in multivariate time series (MTS).
Effective Dimension in Bandit Problems under Censorship
In this paper, we study both multi-armed and contextual bandit problems in censored environments.
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
Bayesian optimization (BO) is a popular method to optimize expensive black-box functions.
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