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Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage
Contrastive learning has been applied successfully to learn numerical ve...
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Text Classification Using Label Names Only: A Language Model Self-Training Approach
Current text classification methods typically require a good number of h...
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CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring
Taxonomy is not only a fundamental form of knowledge representation, but...
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Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
In high dimensional setting, the facts that the classical ridge regressi...
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Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Mining a set of meaningful topics organized into a hierarchy is intuitiv...
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Bootstrap prediction intervals with asymptotic conditional validity and unconditional guarantees
Focus on linear regression model, in this paper we introduce a bootstrap...
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Consistent bootstrap one-step prediction region for state-vector in state space model
In this paper, we propose a bootstrap algorithm to construct non-paramet...
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L_p and almost sure convergence of estimation on heavy tail index under random censoring
In this paper, we prove L_p, p≥ 2 and almost sure convergence of tail in...
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Monotone function estimator and its application
In this paper, the model Y_i=g(Z_i), i=1,2,...,n with Z_i being random v...
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