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Samory Kpotufe
Dr.
Position: Research Scientist
Phone: +49 7071 601 551
Fax: +49 7071 601 552

I work on machine learning, and I'm particularly interested in nonparametric methods, i.e. methods that can be understood as optimizing some objective over an infinite dimensional search space.


Please visit my personal webpage for more info.


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2014
Conference Papers
2013
Conference Papers
  • S. Kpotufe, V. Garg (2013). Adaptivity to Local Smoothness and Dimension in Kernel Regression In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger, 3075–3083, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
  • S. Kpotufe, F. Orabona (2013). Regression-tree Tuning in a Streaming Setting In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger, 1788–1796, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
2012
Conference Papers
  • S. Kpotufe, A. Boularias (2012). Gradient Weights help Nonparametric Regressors In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger, 2870–2878, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
2011
Conference Papers
  • S. Kpotufe (2011). k-NN Regression Adapts to Local Intrinsic Dimension In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger, 729-737, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011)
  • S. Kpotufe, U. Luxburg (2011). Pruning nearest neighbor cluster trees (Ed) Getoor, L. , T. Scheffer, International Machine Learning Society, Madison, WI, USA, 225-232, ISBN: 978-1-450-30619-5, 28th International Conference on Machine Learning (ICML 2011)