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Disambiguation of "Dhillon, Inderjit S."

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Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations.

, , and . J. Mach. Learn. Res., (2018)

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S. Schumann

S. Seemann

S. Wartzack

Boettinger S

S. Toro

 

Other publications of authors with the same name

Semi-supervised graph clustering: a kernel approach., , , and . Machine Learning, 74 (1): 1-22 (2009)Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent., , , , and . NIPS, page 2368-2376. (2015)QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models., , , , and . NIPS, page 2006-2014. (2014)Consistent Binary Classification with Generalized Performance Metrics., , , and . NIPS, page 2744-2752. (2014)Clustering to forecast sparse time-series data., , , and . ICDE, page 1388-1399. IEEE Computer Society, (2015)Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 935-943. PMLR, (2019)Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain., , , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1550-1559. PMLR, (2017)Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1514-1522. PMLR, (2017)Geometry-aware metric learning., , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 673-680. ACM, (2009)Learning Long Term Dependencies via Fourier Recurrent Units., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5810-5818. PMLR, (2018)