Xiaoyuan Lan

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Learning with positive and unknown features. A distributed and privatized framework for drug-target interaction prediction. A PAC bound for joint matrix completion via partially collective matrix factorization. Towards a theoretical understanding of negative transfer in collective matrix factorization. A disagreement-based active matrix completion approach(More)
Learning with positive and unknown features. A distributed and privatized framework for drug-target interaction prediction. A PAC bound for joint matrix completion via partially collective matrix factorization. Towards a theoretical understanding of negative transfer in collective matrix factorization. A disagreement-based active matrix completion approach(More)
Towards a theoretical understanding of negative transfer in collective matrix factorization. Learning with positive and unknown features. A distributed and privatized framework for drug-target interaction prediction. A PAC bound for joint matrix completion via partially collective matrix factorization. A disagreement-based active matrix completion approach(More)
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