研究者

J-GLOBAL ID：201401027832444387 更新日: 2020年06月04日

CUTURI Marco CAMETO

Cuturi Marco

所属機関・部署：
論文 (7件)：

Mean-Reverting Portfolios: Tradeoffs Between Sparsity and Volatility. Financial Signal Processing and Machine Learning, Wiley. 2015
Jean-David Benamou, Guillaume Carlier, Marco Cuturi, Luca Nenna, Gabriel Peyre. ITERATIVE BREGMAN PROJECTIONS FOR REGULARIZED TRANSPORTATION PROBLEMS. SIAM JOURNAL ON SCIENTIFIC COMPUTING. 2015. 37. 2. A1111-A1138
Tam Le, Marco Cuturi. Adaptive Euclidean Maps for Histograms: Generalized Aitchison Embeddings. Machine Learning Journal. 2014. 1-19
Marco Cuturi, Davis Avis. Ground Metric Learning. JOURNAL OF MACHINE LEARNING RESEARCH. 2014. 15. 533-564
M. Cuturi, K. Fukumizu. Kernels on structured objects through nested histograms. Advances in Neural Information Processing Systems. 2007. 329-336

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MISC (12件)：

Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric. Neural Information Processing Systems Annual Conference. 2015
Justin Solomon, Fernando de Goes, Gabriel Peyre, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM TRANSACTIONS ON GRAPHICS. 2015. 34. 4
Fast Optimal Transport Averaging of Neuroimaging Data. Information Processing in Medical Imaging Conference, 2015. 2015
Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. International Conference on Machine Learning, JMLR. 2015
Marco Cuturi, Arnaud Doucet. Fast Computation of Wasserstein Barycenters. International Conference on Machine Learning. 2014

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特許 (1件)：

Method to Compute the Barycenter of a Set of Histograms

講演・口頭発表等 (26件)：

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(IBIS Workshop, Tsukuba 2015)
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(Germany-Japan Adaptive BCI Workshop 2015)
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(Optimization in Machine Learning, Vision and Image Processing, Toulouse 2015)
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(GPU Technology Conference, Tokyo 2015)
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(New trends in Optimal Transport, Bonn 2015)

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